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US 2022/0067247 A1Published application
Elastic strain engineering of materials
AssigneesMassachusetts Institute of Technology, Nanyang Technological University
InventorsSubra Suresh, Ming Dao, Ju Li, Zhe Shi
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Abstract
Methods for training statistical models for modeling phononic energy and/or frequency dispersion, as well as phononic stability of materials as a function of an applied strain, as well as uses of these trained statistical models for elastic strain engineering of materials, are described.
Claims20
A method comprising, by at least one processor:
- obtaining a range of strain coordinates;
- obtaining training data, wherein the training data includes phononic energy and/or frequency dispersion training data for a material within the range of strain coordinates;
- generating a first statistical model using the training data and the range of strain coordinates, wherein the first statistical model is associated with the material and configured to output phononic energy and/or frequency dispersion values using at least one strain coordinate;
- and
- storing the first statistical model.
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A method, comprising,
- by at least one processor:
- obtaining a strain state of a component;
- using a first statistical model to estimate one or more phonon frequencies associated with the strain-state;
- and
- determining whether the strain state is a stable state using the estimated one or more phonon frequencies.
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A method comprising:
- providing a desired bandgap to a trained statistical bandgap model of a material to obtain one or more strain states corresponding to the desired bandgap;
- using a first statistical model to estimate one or more phonon frequencies associated with at least one of the one or more strain states;
- and
- determining whether at least one of the one or more strain states is a stable state using the estimated one or more phonon frequencies.
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Dependencies are inferred from the claim text.