186 results about "Material chemistry" patented technology

The invention discloses a temperature sensing material based on dual-mode thermal response up-conversion luminescence and a preparation method and application thereof, and belongs to the technical field of optical temperature sensing. The chemical formula of the material is Bi (4-y) Ti (0.5) M (0.5) O8X: REy, wherein M is W or Mo, X is Cl or Br, RE is Er or Yb / Er, and a hydrothermal-molten salt method series synthesis strategy is adopted for preparation. Different from a traditional thermal quenching material, according to the dual-mode thermal response up-conversion luminescence temperature sensing material Bi4Ti0. 5M0. 5O8X, visible light is weakened along with temperature rise, and meanwhile 800 nm near-infrared luminescence is enhanced. By utilizing the characteristic that the up-conversion luminescence intensity has opposite response to temperature change, the up-conversion temperature sensing material disclosed by the invention has relatively high optical temperature sensitivity in a fluorescence intensity mode and a fluorescence lifetime mode, and is an optical temperature sensing material with a wide temperature measurement range, which can be used for high-temperature environment detection; the method has great application potential in the field of optical temperature sensing.

The invention provides an ER targeting self-assembly AIE probe with cascade ROS / RNS generation performance, and belongs to the technical field of material chemistry, the probe is composed of four units: 1) an AIE photosensitizer OTBS used for generating ROS; 2) deriving peptide FFVLK from beta amyloid protein, and promoting the self-assembly of the peptide to form a nanofiber with a beta-sheet structure; (3) an oligomerization arginine unit RRRR which is used as an NO donor; and 4) ER targeting signal peptide KDEL to endow ER with targeting ability. Based on ER targeting and a self-assembly process, the self-assembly AIE probe is subjected to ER in-situ self-assembly in cells to form nanofibers, ROS / RNS is generated in a cascading manner under illumination, and strong ICD is induced. In addition, the tumor residence time of the photosensitizer is prolonged due to the formation of the nanofibers, and the treatment effect is further improved. The invention provides a new thought for the design of a novel light-operated II-type ICD inducer.

The invention discloses a red up-conversion luminescent material, which belongs to the field of inorganic luminescent materials, the chemical formula of the material is NaEr < 0.65 > F4: Yb < 0.2 > / Gd < 0.1 > / Tm < 0.05 >, and up-conversion microparticles of the red up-conversion luminescent material are used as a bifunctional luminescent temperature sensor which can be used for a 293348 K low-temperature region sensitization sensor and a 348498 K high-temperature region thermal quenching sensor. After near-infrared light with the wavelength of 980 nm excites Yb < 3 + > ions, through efficient energy transfer between Er < 3 + > and Tm < 3 + >, different changes of near-infrared response type 654 nm and 808 nm red up-conversion luminescence characteristics can be used for non-contact optical temperature measurement under the extreme temperature condition. Temperature detection is realized based on thermal coupling energy levels of 4F9 / 2 to 4I15 / 2 and 3H4 to 3H6, and the distance between two emission peaks is large, so that the data processing error is greatly reduced; excitation light and emission light are located in an optical window of the biological tissue, and absorption and self-fluorescence of the biological tissue are greatly reduced. The preparation method is based on the green chemistry concept, takes water as a solvent and adopts a one-step hydrothermal method for synthesis, the preparation method is simple, the required temperature is low, the preparation process is easy to control, the material crystal phase is good, the phase is uniform, the yield is high, the material performance is stable, and the good temperature response effect is achieved.

The invention provides an adhesive based on a lipoic acid compound and a nitrogen heterocyclic compound as well as a preparation method and application of the adhesive, and belongs to the field of material chemistry. The adhesive disclosed by the invention is prepared from a lipoic acid compound, a nitrogen heterocyclic compound and absolute ethyl alcohol, the azacyclo-compound is at least one of an azacyclo-naphthenic compound or an azacyclo-crown ether compound. The adhesive disclosed by the invention is simple in raw material composition and preparation method, and the obtained adhesive has the advantages of high bonding strength, excellent underwater bonding performance, wide applicable materials, high bonding speed, environment friendliness, recoverable raw materials and the like, and shows huge application potential.

The invention provides a long-time scale solid surface aging characteristic analysis method and system and electronic equipment, and relates to the technical field of insulation material aging. The method comprises the following steps: preparing a material sample; preparing a solid material sample with good anti-aging performance under a specific working condition according to a material chemical theory and experience; obtaining a solid surface appearance by a high-precision microscope; carrying out accelerated aging on the material at a constant temperature for a certain time; solid surface features including roughness and fractal indexes under different accelerated aging time are extracted, edge curvilinear equation fitting is carried out, and an aging feature curve is generated, so that an aging behavior prediction result is obtained, continuous monitoring and accurate analysis of the solid surface aging process are realized, and the aging behavior prediction accuracy is improved. Through continuous monitoring of the multi-time-node accelerated aging experiment, aging full-period coverage and multi-dimensional data fusion are realized, data accuracy and aging identification precision are improved, and aging behavior prediction precision is improved.

The invention relates to the technical field of material chemistry and catalysis, in particular to a plasmon thin film catalyst and a preparation method and application thereof. The preparation method of the plasmon catalyst thin film catalyst comprises the following steps: S1, loading plasmon nanoparticles of first metal on a thin film substrate to obtain a plasmon thin film of the first metal; and S2, constructing a catalytic site of a second metal on the first metal plasmon thin film by adopting an atomic layer deposition technology to obtain the first metal-second metal plasmon nano thin film catalyst. The atomic layer deposition technology is adopted to construct metal catalysis sites on the plasmon thin film, the problems that when a traditional wet chemical synthesis catalyst is used, the site type is single, the single-time yield is low, and surfactant residues exist can be solved, and the type and the number of the catalysis sites are flexibly regulated and controlled.

The invention relates to the field of online analysis of chemical components of materials, and discloses an online monitoring process for components of a lead frame electroplating solution, which comprises the following steps: conventionally monitoring the spectrum of the electroplating solution to calculate the concentration; calculating a spectral entropy index based on the deviation degree of the real-time spectrum and a pre-established statistical baseline model, and comparing the spectral entropy index with a preset failure trigger threshold; a dynamic calibration step is started only when the spectral entropy index exceeds the preset failure trigger threshold, the dynamic calibration step compares a physical true difference spectrum with a model virtual difference spectrum by injecting a standard pulse to generate a model error vector, and the model error vector is utilized to correct the chemometrics model, so that the stoichiometry accuracy is improved. According to the method, on-demand calibration is realized, and the consumption of the standard substance is reduced while the real-time accuracy of the model is guaranteed.

The invention relates to a preparation method and application of a carbon material loaded ruthenium nanocrystal, and belongs to the technical field of material chemistry. Comprising the following steps: adding a carbon material into an ethylene glycol solution containing ruthenium metal salt, adding a proper amount of acid, and reacting in a temperature interval of 25-180 DEG C to obtain the carbon-loaded ruthenium nanocrystal. The method provided by the invention is simple, easy to operate and low in cost, the ruthenium nanocrystals can be uniformly dispersed on the surface of the carbon material by using conventional equipment, the method is suitable for industrial production, and the prepared ruthenium / carbon material has ultrahigh catalytic activity, catalytic selectivity and catalytic stability.

The invention provides an artificial intelligence grading classification-regression combination prediction method for multi-class materials, and belongs to the technical field of material informatics and artificial intelligence. According to the method, a historical sample data set of material chemical composition and crystal structure information is obtained, a band gap value is divided into a plurality of intervals based on an equal width principle, and interval labels are generated. Key features are extracted, an SVM classification model is trained to predict a band gap interval, and then a multi-layer neural network regression model is utilized to predict a band gap value. If the highest confidence coefficient is higher than the threshold value, directly calling the multi-layer neural network regression model of the corresponding interval; and if the value is lower than the threshold value, multi-interval parallel regression and weighted fusion prediction are carried out. According to the artificial intelligence grading classification-regression combination prediction method for the multi-class materials, the precision and robustness of band gap prediction can be effectively improved, particularly, the performance is prominent when high and low band gap samples are distributed imbalanced, and a precise and reliable solution is provided for material band gap prediction.

The invention provides an amphiphilic modified silane coupling agent as well as a preparation method and application thereof, and belongs to the field of material chemistry. The invention provides an amphiphilic modified silane coupling agent preparation method, which comprises: in the presence of an acid-binding agent and a first solvent, carrying out a reaction on a hydroxyl-containing hydrophilic polymer and halogenated acyl halide to obtain an ATRP initiator; in the presence of a metal salt catalyst, a ligand and a second solvent, reacting an ATRP initiator with an acrylate monomer to obtain an active macromolecule containing an amphiphilic group; in the presence of an alkali reagent and a third solvent, the active macromolecules containing the amphiphilic groups react with a silane compound containing amino groups, and the amphiphilic modified silane coupling agent is obtained. The silane coupling agent provided by the invention can be effectively applied to a coating, not only can improve the interface performance between an inorganic matter surface and an organic coating, but also can effectively improve the tensile strength, the waterproof and anti-fouling properties and the tensile strength after re-coating of a coating.

The invention belongs to the technical field of material chemistry and sewage detection, and particularly relates to a nanofiber for detecting Cu < 2 + > as well as a preparation method and application thereof. The invention provides a preparation method of a 1, 4-DHAQ (at) GEL-PCL nanofiber membrane, which comprises the following steps: dissolving gelatin and polycaprolactone in an organic solvent to obtain a substrate solution, and putting the substrate solution into 1, 4-dihydroxy anthraquinone for electrostatic spinning to obtain the nanofiber membrane. The nanofiber membrane can be used for preparing a solid fluorescence sensor for detecting Cu < 2 + > in a water body. The nanofiber membrane is prepared by only one step, the raw materials are green, environment-friendly, economical and easy to obtain, and the treatment process is simple; the original performance can be maintained and stored for six months under the normal-temperature dark condition; the prepared fluorescence sensor is short in incubation time, suitable for rapid detection of large-batch samples, high in sensitivity and good in stability; the prepared fluorescence sensor is a solid sensor and is convenient to carry. The sensor is resistant to interference of various ions, good in specificity and suitable for Cu < 2 + > detection in various wastewater treatment fields.

The invention relates to the field of material chemistry on-line detection, in particular to a 1, 2, 4-trichlorobenzene on-line detection material and a preparation method thereof, and provides a film-forming sensitive layer material capable of being coated on the surface of a transducer, and the film-forming sensitive layer material comprises chitosan, a crosslinking component with the content of 0.1-5wt% in terms of glutaraldehyde and magnetic core-shell molecularly imprinted particles after being dried, the magnetic core-shell molecularly imprinted particle contains a ferroferric oxide magnetic inner core, a silicon dioxide middle layer and a molecularly imprinted polymer shell layer, and the shell layer is a cyclodextrin methacrylate and ethylene glycol dimethacrylate copolymer network and takes 1, 2, 4-trichlorobenzene as a template. The material keeps the membrane integrity and long-term stability under the working conditions of circulation and regeneration and also gives consideration to quick response, and the residual 1, 2, 4-trichlorobenzene is controlled to be not greater than 0.10 wt% and the residual glutaraldehyde is controlled to be not greater than 0.5 wt%. The method is used for relieving structural mass transfer contradiction and processing and coating coupling contradiction caused by high filler load, and has online detection application value.

The invention discloses a wave-absorbing material chemical coprecipitation reaction kettle, and relates to the technical field of chemical engineering equipment and functional material preparation, the reaction kettle comprises the following components: a three-stage gradient reaction cavity structure, an anti-pollution structure and a multi-physics field coupling control platform; through the design of a three-stage gradient reaction cavity structure, optimal distribution of a fluid field is realized, stable and efficient flowing of a reaction solution among different cavities is ensured, a multi-axis intelligent mixing system in a premixing area can quickly mix a precursor solution to achieve a molecular-level mixing state, an ideal initial condition is provided for subsequent reaction, and the reaction efficiency is improved. The nucleation area realizes uniform nucleation of nanocrystal nuclei through accurate temperature control and chemical environment control, the grain size distribution range is effectively reduced, the growth area controls preferred growth of crystal faces through adjustment of magnetic field intensity and solution supersaturation degree, particles with good monodispersity are obtained, and under the combined action of the designs, the particle size distribution range is effectively reduced. The reaction efficiency and the consistency of the product quality are obviously improved.

The invention belongs to the field of material chemistry, and particularly relates to an organic hybrid ionic solvent membrane as well as a preparation method and application thereof. The organic hybrid ionic solvent membrane provided by the invention is prepared from a membrane liquid, wherein the membrane liquid comprises an organic porous material, a biphenyl-isatin polymer and a solvent; the organic porous material is formed by condensation polymerization of a tri-functionality aldehyde monomer and a bi-functionality amine monomer through a Schiff base reaction. A specific organic porous material is introduced into the biphenyl-isatin polymer ionic solvent membrane, so that the affinity of the ionic solvent membrane and water is remarkably improved, the alkali absorption efficiency of the membrane in an alkaline solution is improved, the surface resistance of the membrane is reduced, and the performance of the membrane is improved. Therefore, the alkaline electrolytic cell assembled on the basis of the ionic solvent membrane shows excellent electrochemical performance. Experimental results show that the water contact angle of the organic hybrid ionic solvent membrane is smaller than 50 degrees, the alkali absorption rate is larger than 20%, and the surface resistance is smaller than 0.2 omega cm < 2 >.

The invention belongs to the technical field of material chemistry, and particularly relates to a method for synthesizing an amide hydrogen bond organic framework material based on a one-pot method and gold recovery application. The preparation method comprises the following steps: dissolving a dihydroxybenzidine monomer in a formic acid monomer under 15-minute ultrasonic treatment, then adding ethylene glycol, and then carrying out ultrasonic treatment on the mixture for 5 minutes; then placing the sample bottle in a drying oven at 30 DEG C for constant-temperature evaporation so as to separate out brown blocky crystals; and filtering and collecting crystals, washing with water for multiple times, and carrying out vacuum drying at 60 DEG C to obtain the final material HOF-D. The HOF-D synthesized by the method disclosed by the invention can be used for rapidly recovering Au (III) from an aqueous solution with high selectivity, cycling stability and large capacity (5186 + / -10 mg. G <-1 >), so that the efficient adsorption and recovery of Au (III) in electronic waste liquid are realized, and the HOF-D has a good application prospect.

The invention relates to the technical field of novel material chemical analysis, and discloses a triphenyl phosphate purity standard substance valuing method, which comprises the following steps: filtering, drying, dissolving and sterilizing a triphenyl phosphate sample; a triphenyl phosphate sample is comprehensively analyzed from different angles by comprehensively applying a GC-MS (Gas Chromatography-Mass Spectrometry) technology, an NMR (Nuclear Magnetic Resonance) technology, an infrared spectroscopy, a gas chromatography-flame ionization detector method, a Karl Fischer method and an inductively coupled plasma mass spectrometry, and finally, the purity value of the triphenyl phosphate purity standard substance is calculated by a mass balance method. The method provides a scientific and accurate technical means for quality control and standard formulation of the triphenyl phosphate product, has important practical application value for related industries in the fields of chemical engineering and material science, and is beneficial for improving the product quality and promoting industrial upgrading.

The invention discloses a method for selective photocatalytic oxidation of a thioether compound into a sulfone compound in the technical field of material chemistry, which comprises the following steps: by taking methyl phenyl sulfide as a substrate, porous tubular carbon nitride (B-HTs-400) as a photocatalyst, and any one or two of an organic solvent and water as a reaction solvent, carrying out selective photocatalytic oxidation on the sulfone compound to obtain the sulfone compound. And synthesizing methyl phenyl sulfoxide as shown in a formula 1b, wherein the synthesis route is as shown in the specification: # imgabs0 #. The method in the scheme can reduce environmental pollution.

The invention relates to the technical field of computer-aided material design, in particular to a material chemical formula generation method based on performance sensitivity self-adaptive stratified sampling, which comprises the following steps: inputting an element list; querying a performance sensitivity knowledge base to obtain a sensitivity level and an adjustment factor; analyzing the composite elements, extracting multi-dimensional element features, and quantitatively calculating element combination complexity; based on the element number, the sensitivity and the complexity, a corresponding sampling strategy is adaptively selected, and the sampling amount is dynamically allocated; generating a chemical formula and de-weighting; and outputting a chemical formula list and full-process metadata. Through innovation of resource allocation driven by performance sensitivity, composite element atomic-scale analysis, feature space clustering and the like, on the premise that sampling representativeness and chemical rationality are guaranteed, the calculation efficiency is improved by dozens of times to hundreds of times, the response time is reduced to the second level or the minute level, and the method has the advantages of being traceable, extensible and high in universality and has wide application prospects. And the material screening and discovery process is effectively accelerated.

The invention relates to a method for predicting the separation performance of a mixed matrix membrane through machine learning, and belongs to the technical field of computational material chemistry. Due to the reasons of various filler types, complex membrane structures, indefinite mass transfer mechanisms and the like, the design and preparation of mixed matrix membranes (MMMs) are still in a trial and error stage. The invention discloses a high-throughput design and screening mixed matrix membrane based on machine learning acceleration. Through high-throughput giant regular Monte Carlo calculation and molecular dynamics simulation, the reliable structure and performance characteristics of the MOFs filler are calculated. The high-throughput calculation data and the experimental data of the polymer membrane are combined to construct a large data set. A machine learning regression model is trained to predict penetration and separation performance, and a potential structure-performance relationship of MMMs is disclosed.

The invention relates to an artificial intelligence generation method and system for a ferroelectric material component-temperature phase diagram, and the method comprises the steps: obtaining a chemical formula of a ferroelectric material with a doping variable, and setting the chemical formula in a character string form; setting a doping proportion, a temperature change range and a step length; chemical elements and doping proportions in the chemical formula of the ferroelectric material with the doping variable in the character string form are processed, and a chemical formula numerical vector list is obtained; forming a temperature list according to the set temperature change range and step length, and performing normalization processing to obtain a normalized temperature list; based on the chemical formula numerical vector list and the normalized temperature list, merging, inputting into a pre-trained crystal phase transformation artificial intelligence model, and outputting a crystal structure type; based on the type of the crystal structure, drawing a component-temperature phase diagram of the chemical formula of the ferroelectric material with the doping variable under different doping proportions and different temperature conditions; compared with the prior art, the method has the advantages of automatically generating the component-temperature phase diagram and the like.

The invention relates to the technical field of component detection, in particular to a material chemical component detection method and system based on the spectrum technology, and the method comprises the steps: obtaining a preset number of initial spectrum images of a to-be-detected material through a detector, screening out a matched standard scattering peak corresponding to each target scattering peak from scattering peaks of all standard components obtained in advance; determining a drift possible factor corresponding to each target scattering peak; determining a spectrum overlapping cause characterization coefficient; determining an equipment environment influence factor and a target compensation coefficient corresponding to each initial spectral image; and correcting the initial spectral image according to the target compensation coefficient, and detecting the chemical components of the material based on the corrected initial spectral image. According to the method, the correction of the initial spectral image is realized by analyzing the spectral overlapping condition of the initial spectral image, and the spectral overlapping degree in the spectral image is corrected to a certain extent, so that the detection accuracy of the chemical components of the material is improved.

The invention relates to the technical field of crossing of material chemistry and water electrolysis oxygen evolution, in particular to a method for preparing a yolk shell structure high-entropy phosphide FeCoNiCrMn-P catalyst through a low-temperature phosphating method. The method comprises the following steps: dissolving a plurality of nitrates in isopropanol and a glycerin solvent to react to obtain high-entropy glycerate; carrying out hydrothermal reaction on the reacted high-entropy glycerate to generate a high-entropy hydroxide; the high-entropy hydroxide and a phosphorus source are subjected to a low-temperature phosphating reaction to generate the high-entropy phosphide catalyst. According to the invention, the reactant FeCoNiCrMn-P with a graded egg yolk shell structure not only exposes more active sites and provides abundant mass transfer channels, but also provides a uniform environment for heterogeneous catalysis, so that OER is promoted. In addition, the shell layer can also play a role of a protective layer, prevents the active components from deforming and dissolving in the catalytic process, and enhances the stability of the active components. When the current density is 10 mA cm <-2 >, the FeCoNiCrMn-P2 has the best OER performance, and the overpotential of the FeCoNiCrMn-P2 is 329 mV, so that the FeCoNiCrMn-P2 has high practical application value.

The invention belongs to the technical field of material chemistry, and relates to nano barium sulfate and a preparation method thereof. The invention provides a preparation method of nano barium sulfate, which comprises the following steps: adding a barium acetate solution, sulfhydrylated chitosan and sodium stearate into a sodium sulfate solution for mixing reaction, collecting the obtained product after the reaction is ended, filtering, drying and grinding to obtain the nano barium sulfate, the concentration of the sodium sulfate solution is 1.4 to 2.6 mol / L, and the concentration of the barium acetate solution is 1.4 to 2.6 mol / L; 0.05 to 0.15 g of thiolated chitosan and 0.05 to 0.15 g of sodium stearate are correspondingly added into each 100 mL of the sodium sulfate solution. The invention solves the technical problems of high particle size and non-uniform particle size distribution of nano barium sulfate particles when the nano barium sulfate particles are prepared by adopting a direct precipitation method.

The invention belongs to the technical field of material chemistry and optical materials, and particularly relates to a gold nanorod assembly based on the Hough-Merster effect, a preparation method and application. According to the self-assembly method based on Hough-Merster effect regulation and control, the hydrophilic and hydrophobic degree of the water-soluble polymer on the surface of the gold nanorod is regulated and controlled by simply changing the concentration of the salt solution, so that highly-ordered directional arrangement of the gold nanorod is realized; therefore, a smectic liquid crystal phase two-dimensional film, a smectic liquid crystal phase three-dimensional film, a vertical hexagonal stacked two-dimensional superlattice film and a vertical hexagonal stacked three-dimensional superlattice are obtained, the preparation method is simple and easy to control, and industrial production is facilitated.

The invention relates to the field of biomedicine and the field of material chemistry, and discloses a bimetallic-organic framework (MOF) ZnCoBTCHx with remarkable selectivity on sulfur-containing amino acid. ZnCoBTCHx shows rapid and visual recognition of cysteine, methionine only shows tiny change due to lack of thiol groups, ultraviolet-visible absorption spectrum and x-ray photoelectron spectroscopy show that due to the variable valence property of cobalt ions in ZnCoBTCHx, remarkable electron transfer occurs between a subject and an object, and it is worthy of noting that ZnCoBTCHx can be used for rapidly and visually recognizing cysteine. The ZnCoBTCHx shows the capability of distinguishing-SH and-S-groups in amino acid, and due to the unique property, the ZnCoBTCHx has huge application potential in the field of biomedicine as an effective sensor for sulfhydryl enzyme activity.

The invention discloses a preparation method of a pegylation acoustic catalysis effect black phosphorus loaded biological enzyme nano particle, which is a novel nano composite material based on material chemistry and pharmaceutical chemistry, and bacterial keratitis is treated by using the unique acoustic catalysis property of the nano particle. Nanoparticle synthesis mainly comprises the following steps: 1) pretreatment of commercial black phosphorus; (2) uploading biological enzyme iron-curcumin to black phosphorus in situ; and (3) synthesizing hyaluronic acid coupled phospholipid polyethylene glycol (DSPE-coated PEG2000-HA) and modifying the biological enzyme black phosphorus nanoparticles. The finally obtained nano composite material has good biocompatibility, ocular surface adhesion, biological enzyme activity and acoustic catalytic treatment effect on bacterial biofilm infection of eyes.

The invention discloses cerium oxide / piezoelectric material composite nano-enzyme for an antifouling coating as well as a preparation method and application of the cerium oxide / piezoelectric material composite nano-enzyme, and belongs to the technical field of material chemistry and marine protection. The preparation method of the composite nano-enzyme comprises the following steps: dispersing a metal cerium source and a piezoelectric material source in a solvent according to a mass ratio of 1: (1-5), carrying out phase formation and composite treatment, and collecting a solid product after treatment, thereby obtaining the composite nano-enzyme. The composite nano-enzyme can be used for marine antifouling paint to form a functional material system capable of realizing self-driven antifouling by directly utilizing mechanical energy such as ocean waves, vibration and the like. According to the system, mechanical energy is converted into electrochemical energy to drive in-situ generation of H2O2, and Ce < 3 + > / Ce < 4 + > redox cycle is utilized to efficiently convert H2O2 into ROS, so that sustainable antibacterial and anti-biological adhesion effects are achieved, toxic substances are not released, and the system belongs to an environment-friendly protection technology.

This invention discloses a method for directional experimental verification and performance testing guided by computational simulation in materials chemistry, belonging to the field of materials performance testing technology. The method includes: acquiring the structural parameters of semiconductor devices and initial parameters of interface defects; calculating the characteristic time constant of carrier trapping by interface traps; simulating and generating a theoretical capacitance-voltage hysteresis loop; then performing bidirectional voltage scan tests within a sensitive scan rate range; finally, updating the inversion parameters and resimulating, iteratively adjusting until the characteristic deviation between the theoretical loop and the measured data meets the convergence condition, thus outputting an interface state density distribution map. This invention, through computational simulation-guided directional experiments, achieves accurate capture and non-destructive in-situ characterization of the dynamic response characteristics of interface states, effectively establishing the dynamic structure-property relationship between microscopic interface defects and macroscopic device performance, and significantly improving the accuracy and reliability of interface defect parameter inversion.

This case involves a method for temperature-controlled supermolecular chirality of oligoaniline helical nanoribbons in a non-chiral molecule-mediated synthesis system. A mixed solvent of acetone and water is used as the mediating system. Aniline is dissolved in the mixed solvent to obtain a mixed solution. A certain amount of ammonium persulfate aqueous solution is then added, stirred and mixed evenly, and then placed at 0-27°C for a certain period of time. The precipitate that appears in the system is the oligoaniline helical nanoribbon. The present invention successfully achieves the synthesis of helical chiral nanoribbons by mediating the assembly of aniline monomers in a non-chiral acetone / water mixed solvent. The reaction process is simple and easy to operate, the raw materials are readily available, the prepared nanoribbons have obvious helical structures, strong chiral signals, and good environmental stability, and have good application prospects in materials chemistry, especially in chiral recognition and resolution and chiral crystallization. And through the construction method of the present invention, chirality reversal can be achieved simply by regulating the temperature.

The invention relates to a text mining method and system for identifying a material chemical formula. The method comprises the steps of firstly obtaining a text set and preprocessing to obtain a target text set; marking the positions of the chemical elements, correcting errors to obtain a mark vector, and obtaining a difference vector through exponential offset and difference processing; and then calculating the maximum rising subsequence length of the outlier sequence, setting the cluster number, performing k-means clustering on the offset vector, and finally marking the text according to the k-means clustering result. Compared with the prior art, the method has the advantages of high text chemical formula extraction accuracy, high efficiency and the like.