Method and apparatus for predicting quenching concentration of rare earth in laser glass and computer device

Through the composition relationship and weighted calculation of neighboring compounds, the problem of low efficiency in determining rare earth quenching concentration in traditional methods is solved, and efficient and accurate prediction of rare earth quenching concentration is achieved, which is applicable to a variety of laser glass systems.

WO2025200036A1PCT designated stage Publication Date: 2025-10-02SOUTH CHINA UNIV OF TECH
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Patent Information

Application Number
PCT/CN2024/085437
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-03-25
Filing Date
2024-04-02
Publication Date
2025-10-02

AI Technical Summary

Technical Problem

Traditional methods for determining the rare earth quenching concentration in laser glass require a large number of experiments, which are inefficient and costly, and it is difficult to quickly and accurately determine the optimal rare earth doping concentration.

Method used

By obtaining the oxide composition of the target laser glass, selecting adjacent compounds, establishing a composition relationship, and performing weighted calculation based on the content of the adjacent compounds and the quenching concentration of the rare earth elements, the quenching concentration of the rare earth elements in the target laser glass is predicted.

Benefits of technology

The efficiency of obtaining rare earth quenching concentration is improved, the cycle is shortened and the cost is reduced. The error between the predicted results and the actual values ​​is small, and it is applicable to a variety of laser glass systems.

✦ Generated by Eureka AI based on patent content.

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Abstract

A method and apparatus for predicting the quenching concentration of rare earth in laser glass and a computer device. The prediction method comprises the following steps: acquiring target laser glass, using as candidate compounds compounds which can be formed by elements of oxide components in the target laser glass, and selecting vicinal compounds from among the candidate compounds; establishing a composition relationship between the vicinal compounds and the target laser glass, the composition relationship comprising the content of each vicinal compound required for forming the oxide components of the target laser glass in combination; and performing weighted calculation on the content of each vicinal compound and the quenching concentration of rare earth elements in each vicinal compound, to obtain the predicted quenching concentration of the rare earth elements in the target laser glass. The prediction method is suitable for multiple laser glass systems to predict the quenching concentration of rare earth in a whole glass composition space, and can effectively improve the efficiency of acquiring the quenching concentration of rare earth, shorten the period of acquiring the quenching concentration of rare earth, and reduce costs.
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Description

Method, device and computer equipment for predicting rare earth quenching concentration in laser glass Technical Field

[0001] The present disclosure relates to the technical field of glass materials, and in particular to a method, device, and computer equipment for predicting rare earth quenching concentration in laser glass. Background Art

[0002] Glass is an inorganic material with extremely wide applications. In addition to being used in common consumer goods, construction, chemicals, and medical fields, it is also widely used in numerous high-tech fields, including electronics and information technology, defense and military industry, transportation, and energy. Laser glass, a solid-state laser material with a glass matrix, serves as the core gain medium for solid-state lasers and fiber lasers. Laser glass is typically doped with rare earth metal ions, and the concentration of these ions is a key parameter in determining the gain characteristics of laser glass.

[0003] Generally, increasing the rare earth metal doping concentration in laser glass increases the number of excited upper energy level particles, thereby improving laser output power and slope efficiency. It also helps shorten the laser cavity length, facilitating device miniaturization and intensification. However, when the doping concentration reaches a certain value, the excessively strong interactions between ions increase energy transfer processes such as cross-relaxation, leading to a decrease in upper energy level lifetime and luminescence intensity. Furthermore, it can also cause the glass to undergo phase separation or crystallization, reducing the solubility of rare earth metal ions in the glass matrix. Due to the combined effects of these two factors, the luminescence intensity of laser glass increases first and then decreases with increasing doping concentration. This indicates that there is an optimal rare earth doping concentration corresponding to the maximum luminescence intensity of the laser glass, known as the rare earth quenching concentration in the laser glass. Traditional techniques typically require a series of experiments with varying doping concentration gradients to ultimately determine the rare earth quenching concentration in laser glass. Changes to the glass substrate or the doped rare earth metal ions require repeated experiments to determine the rare earth quenching concentration. This method suffers from long cycle times, low efficiency, and high costs, limiting the further development of laser glass.

[0004] Summary of the Invention

[0005] Based on this, it is necessary to provide a method for predicting the rare earth quenching concentration in laser glass to address the problems in the above-mentioned background technology, so as to improve the efficiency of obtaining the rare earth quenching concentration while ensuring that the obtained rare earth quenching concentration results are relatively accurate, shorten the period for obtaining the rare earth quenching concentration and reduce costs.

[0006] According to some embodiments of the present disclosure, a method for predicting rare earth quenching concentration in laser glass is provided, which includes the following steps:

[0007] Obtaining a target laser glass, taking compounds that can be formed by elements of each oxide component in the target laser glass as candidate compounds, and selecting adjacent compounds from the candidate compounds;

[0008] Establishing a compositional relationship between the neighboring compounds and the target laser glass, the compositional relationship including the content of each of the neighboring compounds required to form an oxide component of the target laser glass in combination; and

[0009] A weighted calculation is performed based on the content of each of the neighboring compounds and the quenching concentration of the rare earth element in each of the neighboring compounds to obtain a predicted quenching concentration of the rare earth element in the target laser glass.

[0010] In some embodiments of the present disclosure, the step of obtaining the candidate compound includes: calculating the formation energy of various atomic combinations in the matrix constituent elements of the target laser glass based on first principles, and screening out atomic combinations with formation energy less than 0 as the candidate compound through a particle swarm optimization algorithm.

[0011] In some embodiments of the present disclosure, the step of selecting at least one neighboring compound from the candidate compounds includes: based on the content of each oxide component in the target laser glass and the content in the candidate compound, selecting one or more candidate compounds that are closest to the content of each oxide component in the target laser glass as the neighboring compound.

[0012] In some embodiments of the present disclosure, the target laser glass contains m oxide components, and the content of the i-th oxide component in the target laser glass is recorded as a. i (1≤i≤m);

[0013] The step of selecting adjacent compounds from the candidate compounds comprises:

[0014] Obtain the content of each oxide component in the candidate compound, and the content of the i-th oxide component in the candidate compound is recorded as b i ;

[0015] The metric parameter d of each candidate compound relative to the target laser glass is calculated by formula (1):

[0016] One or more candidate compounds with the smallest d value are used as neighboring compounds.

[0017] In some embodiments of the present disclosure, the step of establishing a compositional relationship between the adjacent compound and the target laser glass includes:

[0018] The number of the neighboring compounds is n, and each of the neighboring compounds is marked from 1 to n, and the content of the i-th oxide component in the j-th neighboring compound is recorded as b ij (1≤j≤n);

[0019] The content of the jth neighboring compound required to form the oxide component of the target laser glass is recorded as x j , the content of each adjacent compound is calculated by formula (2);

[0020] In some embodiments of the present disclosure, the quenching concentration of the rare earth element in the jth neighboring compound is c j and the predicted quenching concentration c* of the rare earth elements in the target laser glass is given by formula (3):

[0021] In some embodiments of the present disclosure, the target laser glass is a multi-component oxide glass, and the target laser glass is doped with a rare earth metal ion, and the rare earth metal ion is selected from Nd 3+ 、Yb 3+ 、Er 3+ 、Tm 3+ 、Ho 3+ 、Pr 3+ 、Eu 3+ 、Sm 3+ 、Ce 3+ 、Dy 3+ and Tb 3+ One of them.

[0022] In some embodiments of the present disclosure, the oxide components in the target laser glass are barium oxide and boron oxide, and the candidate compounds are BaB2O4, BaB4O7 and BaB8O 13 , the adjacent compounds are two of the candidate compounds; or,

[0023] The oxide components in the target laser glass are lithium oxide, barium oxide and boron oxide, and the candidate compounds are BaB2O4, BaB4O7, BaB8O 13 、Ba2LiB5O 10 、BaLiB9O 15 、Li3B 11 O 18 、Li3B7O 12 , LiB3O5, Li2B4O7 and LiBO2, the adjacent compounds are three of the candidate compounds.

[0024] Furthermore, the present disclosure also provides a device for predicting rare earth quenching concentration in laser glass, comprising:

[0025] A candidate compound acquisition module is used to acquire compounds that can be composed of elements of various oxide components in the target laser glass as candidate compounds;

[0026] A neighboring compound selection module is used to select neighboring compounds from candidate compounds;

[0027] a composition relationship calculation module, configured to establish a composition relationship between the adjacent compounds and the target laser glass, wherein the composition relationship includes the content of each of the adjacent compounds required to form an oxide component of the target laser glass;

[0028] And, a quenching concentration calculation module is used to perform weighted calculation based on the content of each of the adjacent compounds and the quenching concentration of the rare earth element in each of the adjacent compounds to obtain the predicted quenching concentration of the rare earth element in the target laser glass.

[0029] Furthermore, the present disclosure also provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the method described in the above embodiment when executing the computer program.

[0030] In the method for predicting the rare earth quenching concentration in laser glass described in the above embodiment, a weighted calculation is performed based on the content of each neighboring compound and the quenching concentration of the rare earth element in the neighboring compound to obtain the predicted quenching concentration of the rare earth element in the target laser glass. This method cleverly applies the research concept of material genes to laser glass research. It creatively proposes using relatively simple neighboring compounds as "structural building blocks" for more complex laser glasses. The quenching concentration of the rare earth element in the target laser glass is predicted based on the content of the neighboring compounds and the quenching concentration of the rare earth element in the neighboring compounds. The error between the predicted result and the actual quenching concentration is low, and the prediction result is relatively accurate. Furthermore, this prediction method is applicable to a variety of laser glass systems, enabling the prediction of rare earth quenching concentration across the entire glass composition space. This method can effectively improve the efficiency of obtaining rare earth quenching concentration, shorten the cycle time for rare earth quenching concentration acquisition, and reduce costs.

[0031] The above description is only an overview of the technical solution of the present disclosure. In order to more clearly understand the technical means of the present disclosure and to implement them according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present disclosure with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] FIG1 is a method for predicting the rare earth quenching concentration in laser glass;

[0033] FIG2 is a device for predicting the rare earth quenching concentration in laser glass. DETAILED DESCRIPTION

[0034] To facilitate understanding of this document, a more comprehensive description of this document is provided below. Preferred embodiments of this document are provided herein. However, this document can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and comprehensive understanding of the present document.

[0035] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this document pertains. The terms used herein in the specification are for the purpose of describing specific embodiments only and are not intended to limit this document.

[0036] The purpose of the terms used herein is only to describe specific embodiments and is not intended to limit the present disclosure. When used herein, the singular forms "a," "an," and "the" are intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the terms "comprising" and / or "including," when used in this specification, identify the presence of features, integers, steps, operations, elements, and / or parts, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, parts, and / or groups. When used herein, the term "and / or" includes any and all combinations of the relevant listed items.

[0037] FIG1 is a method for predicting the rare earth quenching concentration in laser glass according to the present disclosure. Referring to FIG1 , the prediction method includes steps S1 to S3, which are specifically as follows.

[0038] Step S1: obtaining a target laser glass, taking compounds that can be composed of elements of various oxide components in the target laser glass as candidate compounds, and selecting adjacent compounds from the candidate compounds.

[0039] The target laser glass contains a glass matrix and rare earth metal ions. The glass matrix is ​​typically composed of one or more oxide components, and the glass matrix can be expressed as a combination of oxides. The elements of each oxide component refer to the elements in all oxides that make up the glass matrix. For example, when the laser glass matrix material is barium-boron glass, the oxide components are boron, barium, and oxygen. Alternatively, when the laser glass matrix material is lithium-boron-barium glass, the oxide components are boron, barium, lithium, and oxygen.

[0040] In some examples of this embodiment, the target laser glass is a multi-component oxide glass, that is, the glass matrix of the target laser glass contains multiple oxide components, and the target laser glass is doped with a rare earth metal ion.

[0041] In some examples of this embodiment, the rare earth metal ion is selected from Nd3+ 、Yb 3+ 、Er 3+ 、Tm 3+ 、Ho 3+ 、Pr 3+ 、Eu 3+ 、Sm 3+ 、Ce 3+ 、Dy 3+ and Tb 3+ One of them.

[0042] In some examples of this embodiment, the oxide component of the laser glass contains multiple elements that can form oxides with oxygen, that is, in addition to oxygen, the glass matrix of the laser glass also contains two or more elements.

[0043] In some examples of this embodiment, the step of obtaining candidate compounds includes: calculating the formation energies of various atomic combinations of the matrix elements of the target laser glass based on first principles, and screening atomic combinations with formation energies less than 0 using a particle swarm optimization algorithm as candidate compounds. It will be understood that the various atoms of the matrix elements can form many compounds with different stoichiometric ratios. The purpose of calculating their formation energies based on first principles and screening atomic combinations with formation energies less than 0 is to ensure that the candidate compounds can be spontaneously formed from the matrix elements and exist stably, thereby enabling the quenching concentration of the rare earth element therein to be determined in subsequent steps.

[0044] In some examples of this embodiment, the candidate compound may be a composite oxide, that is, the candidate compound contains multiple elements that can form oxides with oxygen, that is, in addition to oxygen, the candidate compound also contains two or more elements.

[0045] In some examples of this embodiment, the oxide components in the target laser glass are barium oxide and boron oxide, and the matrix components are barium, boron and oxygen. According to the first principle calculation and the screening of the particle swarm optimization algorithm, it can be obtained that BaB2O4, BaB4O7 and BaB8O 13 To form an atomic combination with an energy less than 0, the candidate compounds are BaB2O4, BaB4O7 and BaB8O 13 .

[0046] In some examples of this embodiment, the oxide components in the target laser glass are lithium oxide, barium oxide and boron oxide, wherein the matrix components are barium, boron, lithium and oxygen. According to the first principle calculation and the screening of the particle swarm optimization algorithm, it can be obtained that BaB2O4, BaB4O7, BaB8O 13 、Ba2LiB5O 10 、BaLiB9O15 、Li3B 11 O 18 、Li3B7O 12 , LiB3O5, Li2B4O7 and LiBO2 are atomic combinations with formation energy less than 0, so the candidate compounds are BaB2O4, BaB4O7, BaB8O 13 、Ba2LiB5O 10 、BaLiB9O 15 、Li3B 11 O 18 、Li3B7O 12 , LiB3O5, Li2B4O7 and LiBO2.

[0047] In some examples of this embodiment, the step of selecting at least one neighboring compound from the candidate compounds includes: based on the content of each oxide component in the target laser glass and the content in the candidate compounds, selecting one or more candidate compounds that are closest to the content of each oxide component in the target laser glass as the neighboring compound.

[0048] The purpose of selecting neighboring compounds from the candidate compounds is to screen out candidate compounds with oxide compositions that are closer to the target laser glass. This allows the structures of the selected neighboring compounds to be closer to the "structural elements" of the target laser glass, thereby improving the accuracy of the prediction results. Furthermore, the content refers to the amount of the substance.

[0049] In some examples of this embodiment, a plurality of adjacent compounds may be selected from the candidate compounds. For example, the number of adjacent compounds may be two, three, or more than three.

[0050] For the convenience of calculation, in this embodiment, it is assumed that the target laser glass contains m oxide components, and the content of the i-th oxide component in the target laser glass is recorded as a. i (1≤i≤m)). Then the contents of each oxide component in the target laser glass are recorded as a1~a m For example, assuming that the target laser glass contains two oxide components, the contents of the two oxide components in the target laser glass can be recorded as a1 and a2, respectively. assuming that the target laser glass contains three oxide components, the contents of the three oxide components in the target laser glass can be recorded as a1, a2, and a3, respectively.

[0051] In some examples of this embodiment, the step of selecting adjacent compounds from the candidate compounds is as follows: obtaining the content of each corresponding oxide component in the candidate compound, and the content of the i-th oxide component in the candidate compound is recorded as b i, then the content of each oxide component in an alternative compound can be recorded as b1~b m Then, the metric parameter d of each candidate compound can be calculated by formula (1), and one or more candidate compounds with the smallest d value are taken as neighboring compounds.

[0052] The calculation method shown in formula (1) can quantitatively and accurately characterize the difference between the overall oxide content in the candidate compound and the target laser glass. The smaller the d value, the closer the overall oxide content of the candidate compound and the target laser glass is, and the more accurate the prediction result.

[0053] Furthermore, in some examples of this embodiment, when selecting candidate compounds as neighboring compounds, a measurement threshold may be preset, and candidate compounds having a measurement parameter d value smaller than the measurement threshold are selected as neighboring compounds.

[0054] Step S2: establishing a composition relationship between the adjacent compound and the target laser glass.

[0055] The compositional relationship includes the content of each adjacent compound required to form the oxide composition of the target laser glass. In this prediction method, the adjacent compounds selected in step S1 are used as the "structural elements" of the target laser glass. Accordingly, by matching the content of different adjacent compounds, the content of each oxide component can be made to be the same as the content of each oxide component of the target laser glass.

[0056] In some examples of this embodiment, the step of establishing a compositional relationship between the adjacent compound and the target laser glass includes: the number of the adjacent compounds is n, each adjacent compound is marked from 1 to n, and the content of the i-th oxide component in the j-th adjacent compound is recorded as b ij (1≤j≤n). The content of the i-th neighboring compound required to form the oxide component contained in the target laser glass is recorded as x i The content of each adjacent compound is calculated by formula (2);

[0057] It can be understood that formula (2) represents a matrix operation, where b 11 ~b m1 Indicates the content of each oxide component in the first neighboring compound, b 1n ~b mn represents the content of each oxide component in the mth neighboring compound, x1~x n In the matrix operation shown in formula (2), b ij It can be directly obtained according to the chemical formula of each adjacent compound, ai It can be directly obtained according to the oxide components contained in the target laser glass, then x1~x n It can be obtained by calculation using formula (2).

[0058] Step S3 , performing weighted calculation based on the content of each adjacent compound and the quenching concentration of the rare earth element in each adjacent compound to obtain the predicted quenching concentration of the rare earth element in the target laser glass.

[0059] In this embodiment, "weighted calculation" refers to using the content of each adjacent compound in the composition relationship as a weight, and multiplying the weight by the quenching concentration of the rare earth element in the corresponding adjacent compound, and then performing a sum calculation, so as to obtain the predicted quenching concentration of the rare earth element in the target laser glass.

[0060] In some examples of this embodiment, the quenching concentration of the rare earth element in the neighboring compound is obtained by methods including but not limited to: preparing a rare earth element-doped neighboring compound and obtaining it through testing, obtaining it by consulting literature, and obtaining it by inferring it based on existing results.

[0061] In some examples of this embodiment, the quenching concentration of the rare earth element in the jth neighboring compound is c j And the predicted quenching concentration c of rare earth elements in the target laser glass is obtained by formula (3) * :

[0062] It can be understood that c* is the predicted value of the rare earth element in the target laser glass. For example, when there are two adjacent compounds, n is 2, then the predicted quenching concentration c of the rare earth element in the target laser glass is * =x1c1+x2c2.

[0063] It can be understood that the prediction method of steps S1 to S3 can accurately predict the quenching concentration of rare earth elements in various laser glasses by simply obtaining the quenching concentrations of rare earth elements in a few neighboring compounds as a basis. Furthermore, when the quenching concentrations of rare earth elements in neighboring compounds are all known, this prediction method can relatively accurately derive the predicted quenching concentration of rare earth elements in laser glasses through a simple calculation process.

[0064] The present disclosure provides a method for predicting the rare earth quenching concentration in laser glass. This method uses a weighted calculation based on the content of each neighboring compound and the quenching concentration of the rare earth element in the neighboring compound to obtain the predicted quenching concentration of the rare earth element in the target laser glass. This method cleverly applies the research concept of material genes to laser glass research, creatively proposing the concept of using relatively simple neighboring compounds as "structural elements" for more complex laser glasses. The quenching concentration of the rare earth element in the target laser glass is predicted based on the content of the neighboring compounds and the quenching concentration of the rare earth element in the neighboring compounds. The error between the predicted quenching concentration and the actual quenching concentration is low, and the prediction results are relatively accurate. Furthermore, this prediction method is applicable to a variety of laser glass systems and can be further expanded to other laser glass systems, enabling the prediction of rare earth quenching concentration across the entire glass composition space. This method can effectively improve the efficiency of obtaining rare earth quenching concentration, shorten the cycle time for obtaining rare earth quenching concentration, and reduce costs.

[0065] Furthermore, as shown in FIG2 , the present disclosure also provides a device for predicting rare earth quenching concentration in laser glass, which includes:

[0066] The candidate compound acquisition module 110 is used to acquire compounds that can be composed of elements of various oxide components in the target laser glass as candidate compounds;

[0067] A neighboring compound selection module 120 is used to select neighboring compounds from candidate compounds;

[0068] A composition relationship calculation module 130 is used to establish a composition relationship between the adjacent compounds and the target laser glass, wherein the composition relationship includes the content of each adjacent compound required to form the oxide component of the target laser glass;

[0069] And, the quenching concentration calculation module 140 is used to perform weighted calculation based on the content of each adjacent compound and the quenching concentration of the rare earth element in each adjacent compound to obtain the predicted quenching concentration of the rare earth element in the target laser glass.

[0070] In some examples of this embodiment, the candidate compound acquisition module 110 can be used to calculate the formation energy of various atomic combinations in the matrix constituent elements of the target laser glass through first principles, and screen out atomic combinations with formation energy less than 0 as candidate compounds through a particle swarm optimization algorithm.

[0071] In some examples of this embodiment, the neighboring compound selection module 120 may be configured to calculate the metric parameters of each candidate compound according to the above formula (1), and select neighboring compounds according to the calculated metric parameters.

[0072] In some examples of this embodiment, the composition relationship calculation module 130 can be used to calculate the content of each adjacent compound required to constitute the oxide component contained in the target laser glass according to the above formula (2).

[0073] In some examples of this embodiment, the quenching concentration calculation module 140 can be used to calculate the predicted value of the quenching concentration of the rare earth element in the target laser glass according to the above formula (3).

[0074] Further description of the device for predicting rare earth quenching concentration in laser glass and its use can be found in the description of the method for predicting rare earth quenching concentration in laser glass above and will not be repeated here. Each module in the aforementioned prediction device can be implemented in whole or in part via software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or stored in a computer device memory in software form, allowing the processor to call and execute the corresponding operations of each module.

[0075] Furthermore, the present disclosure also provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method for predicting the rare earth quenching concentration in laser glass as described in any of the above embodiments is implemented.

[0076] Furthermore, the present disclosure also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the above-mentioned various method embodiments are implemented.

[0077] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the above-mentioned computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0078] In order to specifically illustrate the implementation of the above-mentioned method for predicting the rare earth quenching concentration in laser glass and to illustrate its advantages, this article also provides the following examples.

[0079] Example 1.1: Predicting Er 3+ Er in 45% (mol%) BaO-55B2O3 laser glass 3+ Quenching concentration.

[0080] (1) According to the prediction method disclosed in the present invention, first, the elements of the oxide components in 45BaO-55B2O3 laser glass are Ba, B and O. Based on the first principles, the formation energy of the combination of Ba atoms, B atoms and O atoms is calculated. The particle swarm optimization algorithm is used to screen out the atomic combinations with formation energy less than 0, which are BaB2O4, BaB4O7, BaB8O 13 , and consider them as candidate compounds.

[0081] (2) Calculate the metric parameter d of each candidate compound relative to the target laser glass. There are two oxide components in the target laser glass, namely BaO and B2O3. Calculate the metric parameter d according to the formula (1) above. Taking 45BaO-55B2O3 laser glass as an example, the BaO content (a1) is 0.45 and the B2O3 content (a2) is 0.55. The BaO content (b1) in BaB2O4 is 0.5 and the B2O3 content (b2) is 0.5. Then the metric parameter of BaB2O4 is The result is 0.0708. According to this calculation, the metric parameter of BaB4O7 is 0.3133, and that of BaB8O 13 The metric parameter is 0.3746. The two compounds with smaller metric parameters are selected as neighboring compounds, namely BaB2O4 and BaB4O7.

[0082] (3) Establish the composition relationship between the adjacent compounds and the target laser glass. Specifically, the content of BaO in BaB2O4 (b 11 ) is 0.5, the content of B2O3 in BaB2O4 (b 21 ) is 0.5, the content of BaO in BaB4O7 (b 12 ) is 0.33, BaB8O 13 The content of B2O3 in 22 ) is 0.67. According to the above formula (2), the following formula can be obtained. After calculation, the composition relationship is obtained, the content x1 of BaB4O7 is 77.78%, BaB8O 13 The content x2 is 22.22%.

[0083] (4) After experiments and references, the above candidate compounds were found to contain3+ The quenching concentration results are shown in Table 1.

[0084] Table 1

[0085] According to the results in Table 1 and the composition relationship obtained in step (3), the predicted quenching concentration of the rare earth element in the target laser glass is calculated as c*=77.78%×1.7+22.22%×1.4≈1.63 mol%.

[0086] Example 1.2: Predicting Er 3+ Er in doped 40BaO-60B2O3 laser glass 3+ Quenching concentration.

[0087] The difference between Example 1.2 and Example 1.1 lies in the composition of the target laser glass. According to the calculation method of Example 1.1, the adjacent compounds are obtained and the composition relationship is established. The predicted quenching concentration of the rare earth element in the target laser glass is calculated to be 1.55 mol%.

[0088] Example 1.3: Predicting Er 3+ Er in doped 30BaO-70B2O3 laser glass 3+ Quenching concentration.

[0089] The difference between Example 1.3 and Example 1.1 lies in the composition of the target laser glass. According to the calculation method of Example 1.1, the neighboring compounds are obtained and the composition relationship is established. The predicted quenching concentration of the rare earth element in the target laser glass is calculated to be 1.33 mol%.

[0090] Example 1.4: Predicting Er 3+ Er in doped 25BaO-75B2O3 laser glass 3+ Quenching concentration.

[0091] The difference between Example 1.4 and Example 1.1 lies in the composition of the target laser glass. According to the calculation method of Example 1.1, the adjacent compounds are obtained and the composition relationship is established. The predicted quenching concentration of the rare earth element in the target laser glass is calculated to be 1.22 mol%.

[0092] Example 2.1: Predicting Er 3+ Er2O3 quenching concentration in doped 5Li2O-45BaO-50B2O3 glass.

[0093] (1) According to the prediction method disclosed in the present invention, first, the oxide components of 5Li2O-45BaO-50B2O3 laser glass are Li, Ba, B and O. Based on the first principle, the formation energy of the combination of Li atoms, Ba atoms, B atoms and O atoms is calculated. The particle swarm optimization algorithm is used to screen out the atomic combinations with formation energy less than 0, which are BaB2O4, BaB4O7, BaB8O 13 、Ba2LiB5O 10 、BaLiB9O 15 、Li3B 11 O 18 、Li3B7O 12 , LiB3O5 and Li2B4O7, which are taken as alternative compounds.

[0094] (2) Calculate the metric parameter d of each candidate compound relative to the target laser glass. The target laser glass contains three oxide components: Li2O, BaO, and B2O3. Calculate the metric parameter d according to equation (1) above, and select the three compounds with the smallest metric parameters as neighboring compounds.

[0095] (3) Establishing the composition relationship between the adjacent compound and the target laser glass. The specific calculation process is similar to that of Example 1.1 and will not be repeated here.

[0096] (4) After experiments and references, the above candidate compounds were found to contain 3+ The quenching concentration results are shown in Table 2.

[0097] Table 2

[0098] According to the results in Table 1 and the composition relationship obtained in step (3), the predicted quenching concentration of the rare earth element in the target laser glass is calculated to be 1.62 mol%.

[0099] Example 2.2: Predicting Er 3+ Er2O3 quenching concentration in doped 5Li2O-40BaO-55B2O3 glass.

[0100] The difference between Example 2.2 and Example 2.1 lies in the composition of the target laser glass. According to the calculation method of Example 2.1, the neighboring compounds are obtained and the composition relationship is established. The predicted quenching concentration of the rare earth element in the target laser glass is calculated to be 1.43 mol%.

[0101] Example 2.3: Predicting Er 3+ Er2O3 quenching concentration in doped 5Li2O-35BaO-60B2O3 glass.

[0102] The difference between Example 2.3 and Example 2.1 lies in the composition of the target laser glass. According to the calculation method of Example 2.1, the neighboring compounds are obtained and the composition relationship is established. The predicted quenching concentration of the rare earth element in the target laser glass is calculated to be 1.34 mol%.

[0103] Example 2.4: Predicting Er 3+ Er2O3 quenching concentration in doped 5Li2O-30BaO-65B2O3 glass.

[0104] The difference between Example 2.4 and Example 2.1 lies in the composition of the target laser glass. According to the calculation method of Example 2.1, the neighboring compounds are obtained and the composition relationship is established. The predicted quenching concentration of the rare earth element in the target laser glass is calculated to be 1.38 mol%.

[0105] Example 2.5: Predicting Er 3+ Er2O3 quenching concentration in doped 5Li2O-25BaO-70B2O3 glass.

[0106] The difference between Example 2.5 and Example 2.1 lies in the composition of the target laser glass. According to the calculation method of Example 2.1, the adjacent compounds are obtained and the composition relationship is established. The predicted quenching concentration of the rare earth element in the target laser glass is calculated to be 1.43 mol%.

[0107] Example 2.6: Predicting Er 3+ Er2O3 quenching concentration in doped 5Li2O-20BaO-75B2O3 glass.

[0108] The difference between Example 2.6 and Example 2.1 lies in the composition of the target laser glass. According to the calculation method of Example 2.1, the neighboring compounds are obtained and the composition relationship is established. The predicted quenching concentration of the rare earth element in the target laser glass is calculated to be 1.35 mol%.

[0109] Furthermore, the actual quenching concentration of the target laser glass in each of the above embodiments was tested experimentally, and the results can be seen in Table 3.

[0110] Table 3

[0111] As can be seen from Table 3 above, each of the above examples utilizes the method for predicting rare earth quenching concentration in laser glass provided by this disclosure to obtain a predicted quenching concentration. The error between the predicted quenching concentration and the measured quenching concentration can be controlled within 5%, and the predicted value is consistent with the experimental value. This demonstrates that the prediction method can effectively predict the quenching concentration of a variety of laser glasses with low error. It can be applied to a variety of laser glass systems and can be further expanded to other laser glass systems, enabling the prediction of rare earth quenching concentration across the entire glass composition space. This method can effectively improve the efficiency of obtaining rare earth quenching concentration, shorten the cycle time for obtaining rare earth quenching concentration, and reduce costs.

[0112] Please note that the above embodiments are for illustrative purposes only and are not intended to be limiting of this document.

[0113] It should be understood that, unless otherwise expressly stated herein, there is no strict order restriction for the execution of steps, and these steps may be executed in other orders. Furthermore, at least a portion of the steps in the preparation process may include multiple sub-steps or multiple stages, and these sub-steps or stages do not necessarily need to be completed at the same time, but may also be executed at different times. The order of execution of these sub-steps or stages is not necessarily sequential, but may be executed in rotation or alternation with other steps or at least a portion of the sub-steps or stages of other steps.

[0114] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0115] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, 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 specification.

Claims

1. A method for predicting rare earth quenching concentration in laser glass, characterized in that: The steps include: Obtaining a target laser glass, taking compounds that can be formed by elements of each oxide component in the target laser glass as candidate compounds, and selecting adjacent compounds from the candidate compounds; Establishing a compositional relationship between the neighboring compounds and the target laser glass, the compositional relationship including the content of each of the neighboring compounds required to form an oxide component of the target laser glass in combination; and A weighted calculation is performed based on the content of each of the neighboring compounds and the quenching concentration of the rare earth element in each of the neighboring compounds to obtain a predicted quenching concentration of the rare earth element in the target laser glass.

2. The method for predicting rare earth quenching concentration in laser glass according to claim 1, characterized in that: The step of obtaining the candidate compound includes: calculating the formation energy of various atomic combinations in the matrix constituent elements of the target laser glass based on first principles, and screening out atomic combinations with formation energy less than 0 as the candidate compound through a particle swarm optimization algorithm.

3. The method for predicting rare earth quenching concentration in laser glass according to claim 1, characterized in that: The step of selecting at least one neighboring compound from the candidate compounds includes: based on the content of each oxide component in the target laser glass and the content in the candidate compound, selecting one or more candidate compounds that are closest to the content of each oxide component in the target laser glass as the neighboring compound.

4. The method for predicting rare earth quenching concentration in laser glass according to claim 3, characterized in that: The target laser glass contains m oxide components, and the content of the i-th oxide component in the target laser glass is recorded as a i (1≤i≤m); The step of selecting adjacent compounds from the candidate compounds comprises: Obtain the content of each oxide component in the candidate compound, and the content of the i-th oxide component in the candidate compound is recorded as b i ; The metric parameter d of each candidate compound relative to the target laser glass is calculated by formula (1): One or more candidate compounds with the smallest d value are used as neighboring compounds.

5. The method for predicting rare earth quenching concentration in laser glass according to claim 4, characterized in that: The step of establishing a compositional relationship between the adjacent compound and the target laser glass comprises: The number of the neighboring compounds is n, and each of the neighboring compounds is marked from 1 to n, and the content of the i-th oxide component in the j-th neighboring compound is recorded as b ij (1≤j≤n); The content of the jth neighboring compound required to form the oxide component of the target laser glass is recorded as x j , the content of each adjacent compound is calculated by formula (2); 6. The method for predicting rare earth quenching concentration in laser glass according to claim 5, characterized in that: The quenching concentration of the rare earth element in the jth neighboring compound is c j and the predicted quenching concentration c* of the rare earth elements in the target laser glass is given by formula (3):

7. The method for predicting rare earth quenching concentration in laser glass according to any one of claims 1 to 6, characterized in that: The target laser glass is a multi-component oxide glass, and the target laser glass is doped with a rare earth metal ion, and the rare earth metal ion is selected from Nd 3+ 、Yb 3+ 、Er 3+ 、Tm 3+ 、Ho 3+ 、Pr 3+ 、Eu 3+ 、Sm 3+ 、Ce 3+ 、Dy 3+ and Tb 3+ One of them.

8. The method for predicting rare earth quenching concentration in laser glass according to any one of claims 1 to 6, characterized in that: The oxide components in the target laser glass are barium oxide and boron oxide, and the candidate compounds are BaB2O4, BaB4O7 and BaB8O 13 , the adjacent compounds are two of the candidate compounds; or, The oxide components in the target laser glass are lithium oxide, barium oxide and boron oxide, and the candidate compounds are BaB2O4, BaB4O7, BaB8O 13 、Ba2LiB5O 10 、BaLiB9O 15 、Li3B 11 O 18 、Li3B7O 12 , LiB3O5, Li2B4O7 and LiBO2, the adjacent compounds are three of the candidate compounds.

9. A device for predicting rare earth quenching concentration in laser glass, characterized in that: include: A candidate compound acquisition module is used to acquire compounds that can be composed of elements of various oxide components in the target laser glass as candidate compounds; A neighboring compound selection module is used to select neighboring compounds from candidate compounds; a composition relationship calculation module, configured to establish a composition relationship between the adjacent compounds and the target laser glass, wherein the composition relationship includes the content of each of the adjacent compounds required to form an oxide component of the target laser glass; And, a quenching concentration calculation module is used to perform weighted calculation based on the content of each of the adjacent compounds and the quenching concentration of the rare earth element in each of the adjacent compounds to obtain the predicted quenching concentration of the rare earth element in the target laser glass.

10. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 8 when executing the computer program.

Citation Information

Patent Citations

  • System and method for quantificationally evaluating concentration of rare earth in water body based on ground reflection spectrum

    CN103076292A

  • Prediction method for performance of rare-earth-doped modified titanium-based stannic oxide electrode

    CN106096279A

  • Method for predicting composite point defect of ternary rare earth oxide

    CN113744818A

  • Rare earth element component content prediction method and system

    CN114743060A

  • Concentration and component content collaborative optimization rare earth element component content prediction method

    CN115984209A