Quantum dot chiral modification processing method, device, equipment, storage medium and program product
Patent Information
- Application Number
- CN202411660384.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-20
- Publication Date
- 2026-11-03
- Estimated Expiration
- 2044-11-20
AI Technical Summary
Traditional methods for modifying the chirality of quantum dots are time-consuming, costly, and require a lot of manpower and resources, making it difficult to quickly select modification schemes that meet the preset performance conditions.
By acquiring quantum dot information and processing requirements, the chiral modification process of quantum dots is predicted using a large-scale chiral modification model. The target chiral modification result that meets the preset performance conditions is obtained, and the chiral modification process is carried out through an automated device, combined with performance detection and model optimization.
It enables the automatic simulation and selection of quantum dot chiral modification schemes that meet preset performance conditions in a short time, reducing manpower, material resources and time costs, and improving the efficiency and reliability of chiral modification.
Smart Images

Figure CN119626374B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of quantum dot surface modification technology, and in particular to a quantum dot chiral modification processing method, apparatus, computer equipment, computer-readable storage medium, and computer program product. Background Technology
[0002] Quantum dots possess advantages such as high fluorescence quantum yield, good chemical stability, and tunable emission wavelengths. However, their lack of selectivity and insufficient biological stability limit their applications in fields such as bioimaging, optoelectronic devices, biolabeling, environmental monitoring, and pollutant treatment. Chiral modification of quantum dots can overcome these shortcomings, endowing them with chiral optical activity, enabling highly selective detection of specific chiral molecules, and improving the sensitivity and accuracy of detection.
[0003] Traditional techniques mainly rely on chemical synthesis and screening methods. That is, multiple experimental schemes are first developed through complex experimental design, and then the performance is verified and the experimental schemes are debugged one by one in the laboratory.
[0004] However, traditional methods usually require a lot of manpower and resources, a long time, and a large number of comparative experiments to determine the chiral modification scheme with better chiral modification effect, which is costly. Summary of the Invention
[0005] Therefore, it is necessary to provide a quantum dot chiral modification processing method, apparatus, computer equipment, computer-readable storage medium, and computer program product that can reduce the cost of quantum dot chiral modification in response to the above-mentioned technical problems.
[0006] In a first aspect, this application provides a method for chiral modification of quantum dots, comprising:
[0007] Obtain quantum dot information and processing requirements for the quantum dots to be modified;
[0008] Based on quantum dot information and processing requirements, the chiral modification process of the quantum dot to be modified is predicted, and the target chiral modification result that meets the preset performance conditions is obtained.
[0009] The target chiral modification result is used to guide the chiral modification of the quantum dots to be modified, so as to obtain the target chiral quantum dots.
[0010] In one embodiment, the quantum dots to be modified include cadmium sulfide quantum dots; the preset performance conditions include preset optoelectronic device performance conditions, wherein the preset optoelectronic device performance conditions include at least one of preset optical performance conditions and preset photostability conditions.
[0011] In one embodiment, the prediction process of the chiral modification process of the quantum dot to be modified is executed by a large-scale chiral modification model, which includes a prediction layer and an output layer. Based on quantum dot information and processing requirements information, the chiral modification process of the quantum dot to be modified is predicted to obtain the target chiral modification result that meets the preset performance conditions, including:
[0012] Through the prediction layer, based on quantum dot information and processing requirements information, the chiral modification process of the quantum dot to be modified is predicted, resulting in multiple chiral modification results and the corresponding optoelectronic device performance prediction results for each chiral modification result.
[0013] Through the output layer, based on the performance prediction results of each optoelectronic device, the target chiral modification result that meets the preset performance conditions of the optoelectronic device is selected from the chiral modification results.
[0014] In one embodiment, the prediction process of the chiral modification process of the quantum dot to be modified is performed by a large-scale chiral modification model; after predicting the chiral modification process of the quantum dot to be modified based on quantum dot information and processing requirements information, and obtaining the target chiral modification result that meets the preset performance conditions, the method further includes:
[0015] The performance prediction results and actual performance test results of the target chiral quantum dots are obtained. The performance prediction results are obtained by the chiral modification large model based on quantum dot information and processing requirements information. The actual performance test results are obtained by testing the performance of the processed target chiral quantum dots using a performance testing device.
[0016] Based on the performance prediction results and the actual performance test results, the large model with manual modifications is optimized.
[0017] In one embodiment, obtaining the measured performance results of the target chiral quantum dot includes:
[0018] Based on the target chiral modification result, the chiral modification processing device is controlled to perform chiral modification processing on the quantum dots to be modified, thereby obtaining the target chiral quantum dots;
[0019] A performance testing device is used to test the performance of the target chiral quantum dot and obtain the measured performance results of the target chiral quantum dot.
[0020] In one embodiment, the quantum dot information includes quantum dot attribute information and quantum dot modification knowledge information; obtaining the quantum dot information of the quantum dot to be modified includes:
[0021] The quantum dot attribute information of the quantum dot to be modified is obtained, and the quantum dot modification knowledge information corresponding to the quantum dot attribute information is queried from a preset knowledge base. The quantum dot attribute information includes at least one of quantum dot size information, quantum dot shape information, and quantum dot composition information.
[0022] Secondly, this application also provides a quantum dot chiral modification processing apparatus, comprising:
[0023] The acquisition module is used to acquire quantum dot information and processing requirements information for the quantum dots to be modified.
[0024] The prediction module is used to predict the chiral modification process of the quantum dot to be modified based on quantum dot information and processing requirements information, and to obtain the target chiral modification result that meets the preset performance conditions. The target chiral modification result is used to guide the quantum dot to be modified to undergo chiral modification processing to obtain the target chiral quantum dot.
[0025] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:
[0026] Obtain quantum dot information and processing requirements for the quantum dots to be modified;
[0027] Based on quantum dot information and processing requirements, the chiral modification process of the quantum dot to be modified is predicted, and the target chiral modification result that meets the preset performance conditions is obtained.
[0028] The target chiral modification result is used to guide the chiral modification of the quantum dots to be modified, so as to obtain the target chiral quantum dots.
[0029] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:
[0030] Obtain quantum dot information and processing requirements for the quantum dots to be modified;
[0031] Based on quantum dot information and processing requirements, the chiral modification process of the quantum dot to be modified is predicted, and the target chiral modification result that meets the preset performance conditions is obtained.
[0032] The target chiral modification result is used to guide the chiral modification of the quantum dots to be modified, so as to obtain the target chiral quantum dots.
[0033] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:
[0034] Obtain quantum dot information and processing requirements for the quantum dots to be modified;
[0035] Based on quantum dot information and processing requirements, the chiral modification process of the quantum dot to be modified is predicted, and the target chiral modification result that meets the preset performance conditions is obtained.
[0036] The target chiral modification result is used to guide the chiral modification of the quantum dots to be modified, so as to obtain the target chiral quantum dots.
[0037] The aforementioned quantum dot chiral modification processing method, apparatus, computer equipment, computer-readable storage medium, and computer program product acquire quantum dot information and processing requirements of the quantum dot to be modified, and then predict the chiral modification process of the quantum dot to be modified based on the quantum dot information and processing requirements, obtaining a target chiral modification result that meets preset performance conditions. The target chiral modification result guides the chiral modification processing of the quantum dot to be modified, resulting in a target chiral quantum dot. This realizes the design process of a chiral modification processing scheme tailored to the quantum dot to be modified and the actual processing requirements. Relevant personnel or processing equipment can perform chiral modification processing on the quantum dot to be modified based on the target chiral modification result, producing a target chiral quantum dot that meets the actual processing requirements and preset performance conditions. Compared to traditional laboratory design methods, this application can automatically simulate and predict the performance of various chiral modification processing schemes in a shorter time, thereby more quickly selecting the target chiral modification result that meets the preset performance conditions, effectively saving manpower and material resources, shortening the design time of the chiral modification processing scheme, and thus effectively reducing the manpower, resource, and time costs of chiral modification of quantum dots. Attached Figure Description
[0038] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0039] Figure 1 This is a flowchart illustrating a quantum dot chiral modification process in one embodiment;
[0040] Figure 2 This is a flowchart illustrating the quantum dot chiral modification process in another embodiment;
[0041] Figure 3 This is a structural block diagram of a quantum dot chiral modification processing apparatus in one embodiment;
[0042] Figure 4 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation
[0043] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0044] In one exemplary embodiment, such as Figure 1 As shown, a method for chiral modification of quantum dots is provided. This embodiment illustrates the application of this method to a terminal, where the terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can be smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, projection devices, etc. Portable wearable devices can be smartwatches, smart bracelets, head-mounted devices, etc. Head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. It is understood that this method can also be applied to servers, and can also be applied to systems including terminals and servers, and implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps S10-S20. Wherein:
[0045] Step S10: Obtain quantum dot information and processing requirements information for the quantum dots to be modified.
[0046] Quantum dots can refer to nanoscale semiconductor materials, typically with diameters between 1 and 10 nanometers. Modified quantum dots refer to quantum dots whose surface needs to be modified to expand their application range and improve performance. Modified quantum dots can be at least one of cadmium sulfide quantum dots, cadmium selenide quantum dots, copper sulfide quantum dots, and gallium sulfide quantum dots.
[0047] In one embodiment, the quantum dots to be modified include cadmium sulfide quantum dots; the preset performance conditions include preset optoelectronic device performance conditions, wherein the preset optoelectronic device performance conditions include at least one of preset optical performance conditions and preset photostability conditions.
[0048] Cadmium sulfide quantum dots (CFDs) refer to semiconductor nanoparticles composed of cadmium and selenium elements, with sizes in the nanoscale range. CFDs exhibit high fluorescence quantum yields, generating strong fluorescence signals even at low concentrations, making them suitable for highly sensitive photoelectric detection. Furthermore, due to their excellent photoelectric conversion efficiency and carrier mobility, CFDs are suitable for optoelectronic devices such as solar cells, light-emitting diodes (LEDs), and photodetectors. Moreover, by altering the size of CFDs, their emission wavelength can be precisely controlled, covering the entire spectral range from ultraviolet to visible light. However, CFDs lack high selectivity in detecting and responding to specific optical signals, are easily interfered with by other optical signals, affecting device performance. They are also prone to degradation under high temperature, high humidity, and strong light conditions, leading to performance decline and shortened lifespan. Chiral modification of the quantum dots can overcome these shortcomings, endowing them with chiral optical activity, enabling them to respond highly selectively to specific optical signals, and improving the performance and stability of optoelectronic devices.
[0049] The performance of an optoelectronic device refers to its key parameters and characteristics under specific operating conditions. These parameters and characteristics determine the efficiency, stability, and reliability of the device. The performance of an optoelectronic device can include at least one of the optical properties of the modified target chiral quantum dots, and the optoelectronic properties of the optoelectronic device with the target chiral quantum dots. Optical properties include at least one of circular dichroism and circularly polarized emission, and fluorescence quantum yield. Optoelectronic properties include at least one of luminous efficiency, photoelectric conversion efficiency, responsivity, quantum efficiency, stability, and efficiency.
[0050] A chiral modification process for quantum dots can refer to the process of introducing chiral molecules or chiral structures into the surface or interior of the quantum dots through chemical methods, thereby endowing them with chiral optical activity. The chiral modification process for quantum dots contains a wealth of information, and exemplarily, may include at least one of a chiral modification formulation and a synthetic route. The chiral modification formulation may include at least one of the types, proportions, and properties of the synthetic raw materials, which may include the quantum dots to be modified and chiral molecules, and may also include processing aids such as solvents and catalysts required in the chiral modification process. The synthetic route may include at least one of the synthetic steps, the equipment used in each synthetic step, and the process parameters for each synthetic step.
[0051] Quantum dot information can refer to information related to the quantum dot to be modified, and may include at least one of quantum dot identification information, quantum dot attribute information, and quantum dot modification knowledge information. Quantum dot identification information may include the name and number of the quantum dot. Quantum dot attribute information may refer to information about the quantum dot already identified in the current chiral modification process, including at least one of quantum dot size information, quantum dot shape information, and quantum dot composition information. Quantum dot attribute information can be determined according to actual processing requirements. For example, since the size of a quantum dot directly affects its bandgap width and quantum efficiency, if the requirements for bandgap width and quantum efficiency are known in practical applications, the specific size or size range of the quantum dot to be modified can be directly determined.
[0052] Processing requirement information can refer to other information besides quantum dot information in the chiral modification processing scheme of the quantum dot to be modified, which can be determined based on actual processing requirements and actual conditions.
[0053] In an exemplary embodiment, the processing requirement information includes at least one of chiral molecule requirement information, synthesis route information, and performance testing conditions; wherein, the chiral molecule requirement information includes at least one of chiral molecule configuration information, chiral molecule reactivity information, and chiral molecule binding mode information; the synthesis route information includes at least one of synthesis equipment, synthesis steps, environmental conditions for each synthesis step, and operation time for each synthesis step; and the performance testing conditions include at least one of performance testing temperature conditions, performance testing solvent conditions, and performance testing acid / alkalinity conditions.
[0054] The chiral molecule requirement information refers to the relevant information of the chiral molecules required for chiral modification of the quantum dots to be modified, which can be determined before prediction. This information may include at least one of the following: chiral molecule configuration information, chiral molecule reactivity information, and chiral molecule binding mode information. The chiral molecule binding mode can refer to the binding mode between the chiral molecule and the copper sulfide quantum dots, such as coordination bonding, covalent bonding, adsorption, etc. The synthesis route information refers to the process parameters in the synthesis process of the chiral molecules and the quantum dots to be modified, which can be determined before prediction. This information may include at least one of the following: synthesis equipment, synthesis steps, environmental conditions for each synthesis step, and operation time for each synthesis step. The performance testing conditions refer to the environmental conditions of the target chiral quantum dots obtained after modification during application, which can be determined before prediction. Based on the environmental conditions of the target chiral quantum dots during application, the environmental conditions for performance testing of the target chiral quantum dots can be determined. By standardizing the performance testing conditions, the difference between the performance testing results and the predicted results can more accurately reflect the predictive effect of the model.
[0055] For example, when a user has a need to design a chiral modification processing scheme, they can send the quantum dot information of the quantum dot to be modified, as well as the processing requirement information, to the terminal through an information input operation; the terminal can receive the quantum dot information and processing requirement information sent by the user.
[0056] Step S20: Based on quantum dot information and processing requirements information, predict the chiral modification process of the quantum dot to be modified, and obtain the target chiral modification result that meets the preset performance conditions; wherein, the target chiral modification result is used to guide the quantum dot to be modified to perform chiral modification processing, and obtain the target chiral quantum dot.
[0057] Chiral modification refers to the process of chemically modifying or transforming quantum dots at the molecular level using chiral molecules. Performance conditions refer to the conditions that the target chiral quantum dot must meet to achieve the desired performance. For example, performance conditions could be three conditions: the target chiral quantum dot must have the highest optical performance, or the optoelectronic device with the target chiral quantum dot must have higher optoelectronic performance.
[0058] As one example, when multiple performance conditions are involved, these conditions can be comprehensively evaluated to obtain a comprehensive condition. A comprehensive score can then be obtained by comprehensively evaluating the various properties of the chiral quantum dot. By comparing the comprehensive score and the comprehensive condition, the target chiral modification result can be determined. As another example, multiple performance conditions can be prioritized in advance. When determining the target chiral modification result, they can be compared sequentially according to their priority. For example, if the priorities are from high to low, and these are the preset optical performance conditions and preset photostability conditions, with the optical performance conditions being the five highest optical performance conditions and the photostability conditions being the three highest photostability conditions, then the five highest optical performance results can be selected from a large number of chiral modification results, and then the three highest photostability results can be selected from these five chiral modification results as the final target chiral modification result.
[0059] The chiral modification result can refer to all or part of the chiral modification processing scheme that can realize the chiral modification of the quantum dot to be modified. For example, the chiral modification result can be a complete chiral modification processing scheme that includes quantum dot information and processing requirement information, or it can be the predicted and determined part of the chiral modification processing scheme, or it can be the part of the chiral modification processing scheme that the user specifies the output. The specific details can be determined according to the actual situation, and this embodiment does not limit it.
[0060] In some feasible embodiments, the chiral modification result may include: weighing 5 grams of pre-prepared cadmium sulfide quantum dots and dispersing them in 100 ml of deionized water, then adding 1 ml of L-tartaric acid solution with a concentration of 50 mg / mL, and stirring the reaction at 60 degrees Celsius for 2 hours; obtaining pure chiral quantum dots by centrifugation and washing, the chiral quantum dots being the chiral cadmium sulfide-tartaric acid complex.
[0061] In some feasible implementations, the target chiral modification result may include at least one of a chiral modification formulation and a synthesis route. After determining the chiral modification formulation and the synthesis route, the corresponding synthetic raw materials can be obtained according to the chiral modification formulation, and then processed using the synthetic raw materials according to the synthesis route to perform chiral modification on the quantum dots to be modified, thereby obtaining the modified target chiral quantum dots.
[0062] In some feasible implementations, the processing requirement information may also include parts of the chiral modification formulation and synthesis route. For example, if a user wants to modify the quantum dots to be modified with tartaric acid, tartaric acid can be included as one of the processing requirement information to predict the chiral type of tartaric acid and the synthesis route, among other information besides the processing requirement information in the chiral modification processing scheme. As another example, if the user's current processing hardware conditions are limited, and processing is to be carried out based on these conditions, which would restrict the synthesis route, then the current processing hardware conditions can be included as one of the processing requirement information to determine the chiral modification formulation and synthesis route that can be used under the current processing hardware conditions using a model.
[0063] The target chiral modification result refers to the chiral modification result that meets the preset performance conditions. The target chiral modification result can be used to guide the chiral modification of quantum dots to be modified, and to produce target chiral quantum dots with better predicted optoelectronic device performance.
[0064] For example, after obtaining quantum dot information and processing requirements information, feasible chiral modification processes for the quantum dot to be modified can be inferred based on the quantum dot information and processing requirements information through model algorithms, digital simulations, logical reasoning programs, etc., to obtain multiple chiral modification results and performance prediction results corresponding to each chiral modification result. Then, based on the performance prediction results corresponding to each chiral modification result, one or more chiral modification results that meet the preset performance conditions can be selected from each chiral modification result as the target chiral modification result.
[0065] As an example, after obtaining the target chiral modification result, relevant personnel or processing equipment can perform chiral modification on the quantum dot to be modified based on the target chiral modification result to obtain the target chiral quantum dot.
[0066] In the aforementioned quantum dot chiral modification processing method, by acquiring the quantum dot information and processing requirements of the quantum dot to be modified, and then predicting the chiral modification process of the quantum dot to be modified based on the quantum dot information and processing requirements, a target chiral modification result that meets preset performance conditions is obtained. The target chiral modification result is used to guide the chiral modification processing of the quantum dot to be modified, resulting in the target chiral quantum dot. This realizes the design process of a chiral modification processing scheme tailored to the quantum dot to be modified and the actual processing requirements. Relevant personnel or processing equipment can perform chiral modification processing on the quantum dot to be modified based on the target chiral modification result, producing a target chiral quantum dot that meets the actual processing requirements and preset performance conditions. Compared to traditional laboratory design methods, this application can automatically simulate and predict the performance of various chiral modification processing schemes in a shorter time, thereby more quickly selecting the target chiral modification result that meets the preset performance conditions. This effectively saves manpower and resources, shortens the design time of the chiral modification processing scheme, and thus effectively reduces the manpower, resource, and time costs of chiral modification of the quantum dot to be modified.
[0067] In an exemplary embodiment, the quantum dot to be modified includes cadmium sulfide quantum dots; the preset performance conditions include preset optoelectronic device performance conditions, wherein the preset optoelectronic device performance conditions include at least one of preset optical performance conditions and preset photostability conditions; the prediction process of the chiral modification process of the quantum dot to be modified is executed by a large-scale chiral modification model, which includes a prediction layer and an output layer; based on quantum dot information and processing requirement information, the chiral modification process of the quantum dot to be modified is predicted to obtain the target chiral modification result that meets the preset performance conditions, including steps S21 to S22. Wherein:
[0068] Step S21: Through the prediction layer, based on quantum dot information and processing requirements information, predict the chiral modification process of the quantum dot to be modified, obtain multiple chiral modification results, and the corresponding optoelectronic device performance prediction results for each chiral modification result.
[0069] Among them, the chiral modification large model refers to a large-scale computational model used to predict and design chiral modification processing schemes. The large-scale computational model can be a deep learning model or a machine learning model, etc. The chiral modification large model can be pre-trained and optimized. As an example, a large amount of real quantum dot modification experimental data can be obtained in advance from various databases and laboratories. This quantum dot modification experimental data can be used to train the large model to be trained, so as to obtain a trained chiral modification large model.
[0070] As an example, a large-scale chiral modification model can be obtained by fine-tuning a pre-trained large-scale model. The fine-tuning process of the pre-trained large-scale model includes: acquiring the pre-trained large-scale model and the labeled data of the quantum dots to be modified, as well as the optoelectronic device performance labels corresponding to the labeled data of the quantum dots to be modified; predicting the chiral modification process of the quantum dots to be modified based on the labeled data of the quantum dots to be modified using the pre-trained large-scale model to obtain the performance training prediction result; calculating the model loss based on the difference between the performance training prediction result and the optoelectronic device performance labels; and iteratively optimizing the pre-trained large-scale model based on the model loss to obtain the large-scale chiral modification model.
[0071] The prediction layer is used to infer the chiral modification process of the quantum dots to be modified with different chiral molecules using different synthetic routes, and to infer the optoelectronic device performance of the chiral quantum dots modified by each chiral modification process.
[0072] For example, after obtaining quantum dot information and processing requirements, these can be input into a large-scale chiral modification model. Through the prediction layer of this model, based on the quantum dot information and processing requirements, feasible chiral modification processes for the quantum dot to be modified are inferred, resulting in multiple chiral modification outcomes. Each chiral modification outcome includes at least the modified chiral quantum dot and the corresponding predicted performance of the optoelectronic device. It is understandable that different chiral molecules or different synthetic routes will result in different modified chiral quantum dots. Even with the same chiral molecule modified using different synthetic routes, the specific structure and performance of the chiral quantum dots will still differ due to the different synthetic routes. Therefore, each chiral modification outcome corresponds to a different chiral quantum dot, and the predicted performance of the optoelectronic device may also differ.
[0073] Step S22: Through the output layer, based on the performance prediction results of each optoelectronic device, select the target chiral modification result that meets the preset performance conditions of the optoelectronic device from the chiral modification results.
[0074] The output layer is used to filter and output the target chiral modification results that meet the preset performance conditions of optoelectronic devices.
[0075] For example, after obtaining multiple chiral modification results and the corresponding optoelectronic device performance prediction results for each chiral modification result, the output layer can select one or more of the chiral modification results that meet the preset optoelectronic device performance conditions as target chiral modification results, based on the optoelectronic device performance prediction results corresponding to each chiral modification result and the preset optoelectronic device performance conditions.
[0076] In some feasible implementations, there can be multiple target chiral modification results. The large-scale chiral modification model is primarily used to infer feasible chiral modification processes and predict the optoelectronic device performance of the modified chiral quantum dots, thereby screening for superior chiral modification processing schemes. In other words, it is mainly used for initial screening of chiral modification processing schemes, reducing the number of experiments in the initial screening stage. However, before mass production, experimental verification is still required. Therefore, multiple target chiral modification results with superior predicted optoelectronic device performance can be selected, and then verified experimentally. Further optimization is then based on the actual situation and verification results during the experimental verification process. In this way, by combining the large-scale model with experiments, not only can the number of experiments in the initial screening stage be reduced using the large-scale model, effectively reducing labor, resource, and time costs, but experimental verification can also ensure the quality and reliability of chiral modification.
[0077] In one exemplary embodiment, the prediction process for the chiral modification of the quantum dot to be modified is executed by a large-scale chiral modification model, such as... Figure 2 As shown, based on quantum dot information and processing requirements, the chiral modification process of the quantum dot to be modified is predicted. After obtaining the target chiral modification result that meets the preset performance conditions, steps S30 to S40 are also included. Wherein:
[0078] Step S30: Obtain the performance prediction results and actual performance test results of the target chiral quantum dot. The performance prediction results are obtained by the chiral modification large model based on quantum dot information and processing requirements information. The actual performance test results are obtained by performing performance testing on the processed target chiral quantum dot using a performance testing device.
[0079] The performance prediction results can refer to the performance information of the target chiral quantum dot predicted by the large-scale chiral modification model, which can be obtained by the large-scale chiral modification model based on quantum dot information and processing requirements. The actual performance test results can refer to the performance information obtained by testing the actual processed target chiral quantum dots through experiments. This can be obtained by relevant personnel or processing equipment actually processing the target chiral quantum dots based on the target chiral modification results, and then testing the performance of the actually processed target chiral quantum dots.
[0080] For example, after the chiral modification model outputs the target chiral modification result, relevant personnel or processing equipment actually process the target chiral quantum dot based on the target chiral modification result, and then perform performance testing on the actually processed target chiral quantum dot to obtain the actual performance test result; simultaneously, the performance prediction result calculated by the chiral modification model during the prediction process can be obtained.
[0081] Step S40: Optimize the large model with manual modifications based on the performance prediction results and the actual performance test results.
[0082] For example, by comparing the difference between the performance prediction results and the actual performance results, the model prediction loss can be calculated based on the difference between the performance prediction results and the actual performance results. Then, the large model can be optimized by hand-modifying it through backpropagation.
[0083] It is understandable that the chiral modification model in actual application is already optimized. Further optimization in actual application can be carried out after each prediction or at regular intervals. For example, the performance prediction results and actual performance test results can be collected weekly or monthly, and the chiral modification model can be further optimized weekly or monthly using the data generated in the application process.
[0084] In this embodiment, by collecting data and further optimizing it during the application of the large chiral modification model, the deficiency of insufficient data in the training phase can be compensated for, thereby further improving model performance and the accuracy of chiral modification.
[0085] In an exemplary embodiment, obtaining the measured performance results of the target chiral quantum dot includes steps S31 to S32. Wherein:
[0086] Step S31: Based on the target chiral modification result, control the chiral modification processing device to perform chiral modification processing on the quantum dots to be modified, and obtain the target chiral quantum dots.
[0087] Among them, the chiral modification processing apparatus can refer to an apparatus capable of performing chiral modification processing.
[0088] For example, after the chiral modification large model outputs the target chiral modification result, the chiral modification processing device can be controlled according to the target chiral modification result to perform chiral modification processing on the quantum dot to be modified, and obtain the target chiral quantum dot.
[0089] As an example, a chiral modification processing apparatus may include a weighing module, a stirring module, a centrifugation module, and a washing module; the target chiral modification result includes a chiral modification formula and a synthesis path, the synthesis path including stirring process parameters, centrifugation process parameters, and washing process parameters; based on the target chiral modification result, the chiral modification processing apparatus is controlled to perform chiral modification processing on the quantum dots to be modified to obtain the target chiral quantum dots, including: according to the chiral modification formula, controlling the weighing module to weigh the synthetic raw materials required for chiral modification processing and adding them to the container of the stirring module; then, according to the stirring process parameters, controlling the stirring module to stir the synthetic raw materials and transferring the stirred material to the centrifugation module; then, according to the centrifugation process parameters, controlling the centrifugation module to centrifuge the material; then, according to the washing process parameters, controlling the washing module to wash the centrifuged material; the washed material is then centrifuged again by the centrifugation module to obtain the target chiral quantum dots.
[0090] Step S32: Control the performance testing device to perform performance testing on the target chiral quantum dot and obtain the measured performance results of the target chiral quantum dot.
[0091] Among them, performance testing device can refer to a device capable of performing performance testing.
[0092] For example, after the target chiral quantum dot is fabricated, it can be transferred to a performance testing device, and the performance testing device can be controlled to perform performance testing on the target chiral quantum dot to obtain the actual performance test results of the target chiral quantum dot.
[0093] As an example, the quantum dots to be modified include cadmium sulfide quantum dots; the performance testing device may include an optical device fabrication module and a testing module, the testing module may include at least one of a light source, a spectrometer, a quantum efficiency meter, etc.; controlling the performance testing device to test the predicted performance of the optoelectronic device of the target chiral quantum dots to obtain the measured performance results of the target chiral quantum dots includes: controlling the optical device fabrication module to deposit the target chiral quantum dots onto the substrate of the optical device; and then controlling the testing module to test the optical performance and photostability of the optical device with the deposited target chiral quantum dots.
[0094] In this embodiment, by automating the chiral modification processing device and the performance testing device, the target chiral modification result can be automatically verified. The verification result can then be used to optimize the large chiral modification model. The optimized large chiral modification model can be used to design a better chiral modification processing scheme, thus improving both the efficiency and reliability of chiral modification.
[0095] In one exemplary embodiment, the quantum dot information includes quantum dot attribute information and quantum dot modification knowledge information; obtaining the quantum dot information of the quantum dot to be modified includes:
[0096] The quantum dot attribute information of the quantum dot to be modified is obtained, and the quantum dot modification knowledge information corresponding to the quantum dot attribute information is queried from a preset knowledge base. The quantum dot attribute information includes at least one of quantum dot size information, quantum dot shape information, and quantum dot composition information.
[0097] The quantum dot attribute information can refer to a set of data describing various physical, chemical, and optical properties of quantum dots, including at least one of quantum dot size information, core material information, shell material information, surface ligand information, quantum dot shape information, and quantum dot composition information. The quantum dot modification knowledge information can refer to information related to quantum dot attributes and chiral modification retrieved from a pre-defined knowledge base based on the quantum dot attribute information of the quantum dot to be modified. The pre-defined knowledge base can refer to a database used to store data related to chiral modification.
[0098] In one feasible implementation, the preset knowledge base can be updated in real time or at regular intervals. The update can refer to querying and obtaining data from an external database to supplement or modify the data in the preset knowledge base.
[0099] In one feasible implementation, the preset knowledge base can be a knowledge graph.
[0100] For example, after obtaining the quantum dot attribute information of the quantum dot to be modified sent by the user, the corresponding quantum dot modification knowledge information can be queried from the preset knowledge base based on the quantum dot attribute information. The quantum dot modification knowledge information and the quantum dot attribute information are then used together as quantum dot information and input into the chiral modification large model for model prediction.
[0101] In this embodiment, supplementing quantum dot information with a knowledge base can effectively improve the accuracy of chiral modification.
[0102] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.
[0103] Based on the same inventive concept, this application also provides a quantum dot chiral modification processing apparatus for implementing the quantum dot chiral modification processing method described above. The solution provided by this apparatus is similar to the solution described in the above method; therefore, the specific limitations in one or more quantum dot chiral modification processing apparatus embodiments provided below can be found in the limitations of the quantum dot chiral modification processing method described above, and will not be repeated here.
[0104] In one exemplary embodiment, such as Figure 3 As shown, a quantum dot chiral modification processing apparatus is provided, comprising: an acquisition module 302 and a prediction module 304, wherein:
[0105] The acquisition module 302 is used to acquire quantum dot information and processing requirements information of the quantum dots to be modified.
[0106] The prediction module 304 is used to predict the chiral modification process of the quantum dot to be modified based on the quantum dot information and processing requirements information, so as to obtain the target chiral modification result that meets the preset performance conditions; wherein, the target chiral modification result is used to guide the quantum dot to be modified to perform chiral modification processing to obtain the target chiral quantum dot.
[0107] In an exemplary embodiment, the prediction process for the chiral modification of the quantum dot to be modified is executed by a large chiral modification model, which includes a prediction layer and an output layer; the prediction module 304 is further configured to:
[0108] Through the prediction layer, based on quantum dot information and processing requirements information, the chiral modification process of the quantum dot to be modified is predicted, resulting in multiple chiral modification results and the corresponding optoelectronic device performance prediction results for each chiral modification result.
[0109] Through the output layer, based on the performance prediction results of each optoelectronic device, the target chiral modification result that meets the preset performance conditions of the optoelectronic device is selected from the chiral modification results.
[0110] In an exemplary embodiment, the prediction process of the chiral modification process of the quantum dot to be modified is executed by a large chiral modification model; the quantum dot chiral modification processing apparatus further includes an optimization module, which, after predicting the chiral modification process of the quantum dot to be modified based on quantum dot information and processing requirement information, and obtaining the target chiral modification result that meets preset performance conditions, is used to:
[0111] The performance prediction results and actual performance test results of the target chiral quantum dots are obtained. The performance prediction results are obtained by the chiral modification large model based on quantum dot information and processing requirements information. The actual performance test results are obtained by testing the performance of the processed target chiral quantum dots using a performance testing device.
[0112] Based on the performance prediction results and the actual performance test results, the large model with manual modifications is optimized.
[0113] In one exemplary embodiment, the optimization module is further configured to:
[0114] Based on the target chiral modification result, the chiral modification processing device is controlled to perform chiral modification processing on the quantum dots to be modified, thereby obtaining the target chiral quantum dots;
[0115] A performance testing device is used to test the performance of the target chiral quantum dot and obtain the measured performance results of the target chiral quantum dot.
[0116] In an exemplary embodiment, the quantum dot information includes quantum dot attribute information and quantum dot modification knowledge information; the acquisition module 302 is further configured to:
[0117] The quantum dot attribute information of the quantum dot to be modified is obtained, and the quantum dot modification knowledge information corresponding to the quantum dot attribute information is queried from the preset knowledge base. The quantum dot attribute information includes at least one of quantum dot size information, quantum dot shape information, and quantum dot composition information.
[0118] Each module in the aforementioned quantum dot chiral modification processing apparatus can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.
[0119] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 4 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When executed by the processor, the computer program implements a quantum dot chiral modification processing method. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.
[0120] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0121] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.
[0122] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.
[0123] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.
[0124] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.
[0125] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.
[0126] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.
[0127] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.
Claims
1. A method for chiral modification of quantum dots, characterized in that, The method includes: Obtain quantum dot information and processing requirements for the quantum dots to be modified; By using the prediction layer of the large-scale chiral modification model, based on the quantum dot information and the processing requirements information, the chiral modification process of the quantum dot to be modified is predicted, resulting in multiple chiral modification results and the corresponding optoelectronic device performance prediction results for each chiral modification result. Based on the performance prediction results of each optoelectronic device, the target chiral modification result that meets the preset performance conditions of the optoelectronic device is selected from the output layer of the chiral modification model. The target chiral modification result is used to guide the chiral modification process of the quantum dot to be modified, so as to obtain the target chiral quantum dot.
2. The method according to claim 1, characterized in that, The quantum dots to be modified include cadmium sulfide quantum dots; the preset performance conditions include preset optoelectronic device performance conditions, wherein the preset optoelectronic device performance conditions include at least one of preset optical performance conditions and preset photostability conditions.
3. The method according to claim 1, characterized in that, After selecting the target chiral modification result that meets the preset optoelectronic device performance conditions from the chiral modification results based on the performance prediction results of each optoelectronic device through the output layer of the chiral modification model, the process further includes: The performance prediction results and actual performance test results of the target chiral quantum dot are obtained. The performance prediction results are predicted by the chiral modification large model based on the quantum dot information and the processing requirement information. The actual performance test results are obtained by performing performance testing on the processed target chiral quantum dot through a performance testing device. Based on the performance prediction results and the actual performance results, the chiral modification large model is optimized.
4. The method according to claim 3, characterized in that, Obtaining the measured performance results of the target chiral quantum dot includes: Based on the target chiral modification result, the chiral modification processing device is controlled to perform chiral modification processing on the quantum dots to be modified, thereby obtaining the target chiral quantum dots; The control performance testing device performs performance testing on the target chiral quantum dot to obtain the measured performance results of the target chiral quantum dot.
5. The method according to any one of claims 1 to 4, characterized in that, The quantum dot information includes quantum dot attribute information and quantum dot modification knowledge information; obtaining the quantum dot information of the quantum dot to be modified includes: The quantum dot attribute information of the quantum dot to be modified is obtained, and the quantum dot modification knowledge information corresponding to the quantum dot attribute information is queried from a preset knowledge base. The quantum dot attribute information includes at least one of quantum dot size information, quantum dot shape information, and quantum dot composition information.
6. A quantum dot chiral modification processing apparatus, characterized in that, The device includes: The acquisition module is used to acquire quantum dot information and processing requirements information for the quantum dots to be modified. The prediction module is used to predict the chiral modification process of the quantum dot to be modified based on the quantum dot information and the processing requirements information through the prediction layer of the large-scale chiral modification model, to obtain multiple chiral modification results and the corresponding optoelectronic device performance prediction results for each chiral modification result; through the output layer of the large-scale chiral modification model, based on the optoelectronic device performance prediction results, to select a target chiral modification result that meets the preset optoelectronic device performance conditions from the chiral modification results; wherein, the target chiral modification result is used to guide the quantum dot to be modified to undergo chiral modification processing to obtain the target chiral quantum dot.
7. The apparatus according to claim 6, characterized in that, The device further includes an optimization module. After selecting a target chiral modification result that meets preset optoelectronic device performance conditions from the chiral modification results based on the performance prediction results of each optoelectronic device through the output layer of the chiral modification large model, the optimization module is used to: The performance prediction results and actual performance test results of the target chiral quantum dot are obtained. The performance prediction results are predicted by the chiral modification large model based on the quantum dot information and the processing requirement information. The actual performance test results are obtained by performing performance testing on the processed target chiral quantum dot through a performance testing device. Based on the performance prediction results and the actual performance results, the chiral modification large model is optimized.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.
10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.
Citation Information
Patent Citations
Real-time optimization method, device and system of molecular-level device, and storage medium
CN111899793A
