Synthesis route recommendation engine for inorganic materials

Patent metadata

Field	Value
Publication number	US-11557378-B2
Application number	US-202016867973-A
Country	US
Kind code	B2
Filing date	May 6, 2020
Priority date	May 6, 2020
Publication date	Jan 17, 2023
Grant date	Jan 17, 2023

Abstract

A computer system and computational method for determining optimal solid-state methods for synthesis of an inorganic material that results in an output of recommended synthetic methods that can be implemented based on the recommendation. The method involves inputting a target inorganic material, querying structural data and thermodynamic data for the target inorganic material and reactant inorganic materials that can be used for its synthesis, enumerating possible synthetic reactions to construct a synthesis reaction database with a viable subset of the possible synthetic methods. The program generates a nucleation barrier metric and a competition metric that are combined to provide a recommendation of the synthetic procedures to the target inorganic material.

First claim

What is claimed is:

1. A synthesis route recommendation engine, comprising:
an input device for receiving and selecting a target inorganic material, one or more arguments on thermodynamic conditions, and one or more starting material or precursor subclasses;
one or more processors;
a memory communicably coupled to the one or more processors for storing computed data and data acquired from one or more structural and thermodynamic material databases of a remote computer;
a synthesis reaction enumerator module including instructions that, when executed by the one or more processors, cause the one or more processors to (1) enumerate a plurality of possible synthetic reactions leading to the target inorganic material from data acquired from the structural and thermodynamic material databases and (2) store a synthesis reaction database to the memory;
a nucleation estimator module including instructions that, when executed by the one or more processors, cause the one or more processors to (1) compute a reaction energy under user-specified or a set of default thermodynamic conditions and determine a viable subset of reactions, compute similarity values and identify epitaxially matching facets for a plurality of reactants and the target inorganic material and (2) generate and store a nucleation barrier metric for each synthetic reaction of the viable subset of reactions;
a competition module including instructions that, when executed by the one or more processors, cause the one or more processors to (1) compute a number of possible thermodynamically competing phases and (2) generate and store a competition metric for each synthetic reaction of the viable subset of reactions; and
a recommendation visualizer module including instructions that, when executed by the one or more processors, cause the one or more processors to generate a recommendation plot displaying the nucleation barrier metric and the competition metric for each of the viable subset of reactions and store data of the recommendation plot in a human and/or machine-readable file.

2. The synthesis route recommendation engine according to claim 1 , wherein the input device is a user interface configured to receive an input from a user or an output from a routine in the one or more processors.

3. The synthesis route recommendation engine according to claim 1 , wherein the one or more materials databases of a remote computer provide tabulated and retrievable empirical data or first-principle computational structural data and thermodynamic data, wherein the computational structural and thermodynamic data are obtained from Materials Project, Open Quantum Materials Database, or AFLOW database, or a first-principle computational database generated remotely or within at least one of the processors.

4. The synthesis route recommendation engine according to claim 1 , wherein the synthesis reaction enumerator module calculates balanced stoichiometric reactions to the target inorganic material from all of the reactants available from the structural and thermodynamic materials databases.

5. The synthesis route recommendation engine according to claim 1 , wherein the nucleation estimator module computes a reaction energy for each of the synthesis reactions stored in the synthesis reaction database using thermochemical data obtained from one or more of the structural and thermodynamic materials databases under the user-specified or the default thermodynamic conditions, and stores the viable subset of reactions with favorable values of the reaction energy in the synthesis reaction database.

6. The synthesis route recommendation engine according to claim 1 , wherein the nucleation estimator module computes the similarity values between each of the reactants and the target inorganic material, obtained directly from a similarity measure or from an inverse relationship with a relative Euclidean or a non-Euclidean distance, measured in a high-dimensional representation space of materials derived from crystal structure data of the reactants and the target inorganic material, for each of the viable subset of reactions stored in the synthesis reaction database.

7. The synthesis route recommendation engine according to claim 1 , wherein the nucleation estimator module computes epitaxial matching quantities as minimal matching areas or derived scores for each of the reactant and the target material; for each of the viable subset of reactions in the synthesis reaction database.

8. The synthesis route recommendation engine according to claim 1 , wherein the nucleation estimator module computes a nucleation barrier related metric for each viable synthetic reaction from the reaction energy, the similarity values and the epitaxial matching facets.

9. A computational method to determine an optimal solid-state synthetic method for synthesis of an inorganic material, comprising
receiving a target inorganic material from a user or from an output from a program in a processor;
querying structural data and thermodynamic data for the target inorganic material from any of a plurality of material databases;
enumerating a plurality of possible synthetic reactions for the target inorganic material in a synthesis reaction enumerator module;
inputting the structural data and thermodynamic data for reactants for the possible synthetic reactions from any of the plurality of material databases to a synthesis reaction enumerator module;
constructing a synthesis reaction database for the target inorganic material from the plurality of possible synthetic reactions that yield the target inorganic material from the reactants;
entering each of the synthetic reactions from the synthesis reaction database into a competing phase finder module and a nucleation estimator module, the nucleation estimator module being configured for:
acquiring enthalpy and entropy data from at least one of the synthesis reaction enumerator module and any of the plurality of material databases and computing a reaction energy under a user-specified or a default thermodynamic condition and storing a viable subset of synthesis reactions where each of the synthetic reactions has a favorable value for the reaction energy;
computing similarity values for the reactants and the target inorganic material for each of the synthetic reactions of the viable subset of synthetic reactions from the structural data contained within the synthesis reaction database; and
identifying epitaxially matching facets for the reactants and the target inorganic material for each of the synthetic reactions of the viable subset of synthetic reactions within the synthesis reaction database and store as a minimal matching area or a derived metric;

computing a nucleation barrier related metric for each synthetic reaction of the viable subset in the nucleation estimator module;
computing a number of possible thermodynamically competing phases for each synthetic reaction of the viable subset as a competition metric in a competition module; and
outputting results of the nucleation estimator module as the nucleation barrier metric and results from the competing phase module as the competition metric to a recommendation visualizer where the viable subset of synthetic reactions is presented to the user in a mode displaying recommended synthetic reactions.

10. The computational method according to claim 9 , wherein the structural data and thermodynamic data is tabulated and retrievable empirical data or first-principle computational data, where the computational data is retrieved from Materials Project, Open Quantum Materials Database, or AFLOW database, or a first-principle computational database is generated within a domain of the processor or on world wide web accessible

Assignees

• Toyota Res Inst Inc

Inventors

• Aykol Muratahan

Classifications

• G16C20/90

  Programming languages; Computing architectures; Database systems; Data warehousing · CPC title

• G16C20/10 Primary

  Analysis or design of chemical reactions, syntheses or processes · CPC title

• G16C20/80

  Data visualisation · CPC title

• G16C60/00

  Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation · CPC title