Abstract: Methods for training statistical models for the bandgap and energy dispersion 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.

Abstract: Methods involving physics-informed deep learning to help solve inverse problems of solid materials/structures related to unknown geometry include (1) identifying and characterizing unknown materials/structures and defects with accuracy and predictive capability and limited non-destructive measurements, and/or (2) designing geometrical features and parameters of solid materials and structures to achieve optimized and/or improved performance.

Abstract: Compositions and methods related to multiaxially straining defect doped materials as well as their use in electrical circuits are generally described.

Abstract: Compositions and methods related to straining defect doped materials as well as their methods of use in electrical circuits are generally described.

Abstract: Methods and systems for estimating fluid flow characteristics are provided. In one embodiment, a method is provided that includes receiving a plurality of images of fluid flow at a plurality of times. The images may be analyzed with a machine learning model to predict one or more physical characteristics of the fluid flow, such as a velocity field, a pressure field, and/or a stress field. A loss measure may be calculated for the physical characteristics based on physical fluid flow constraints, boundary condition constraints, and/or data mismatch constraints. The machine learning model may be updated based on the loss value.

Abstract: Methods and apparatus for extracting one or more mechanical properties for a material based on one or more indentation parameters for the material. The method comprises receiving load-displacement data from one or more instrumented indentation tests on the material, determining, by at least one computer processor, the indentation parameters for the material based, at least in part, on the received load-displacement data, providing as input to a trained neural network, the indentation parameters for the material, determining, based on an output of the trained neural network, the one or more mechanical properties of the material, and displaying an indication of the determined one or more mechanical properties of the material to a user of the computer system.

Abstract: Methods and apparatus for extracting one or more mechanical properties for a material based on one or more indentation parameters for the material. The method comprises receiving load-displacement data from one or more instrumented indentation tests on the material, determining, by at least one computer processor, the indentation parameters for the material based, at least in part, on the received load-displacement data, providing as input to a trained neural network, the indentation parameters for the material, determining, based on an output of the trained neural network, the one or more mechanical properties of the material, and displaying an indication of the determined one or more mechanical properties of the material to a user of the computer system.

Abstract: Compositions and methods related to multiaxially straining defect doped materials as well as their use in electrical circuits are generally described.

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.

Abstract: Compositions and methods related to straining defect doped materials as well as their methods of use in electrical circuits are generally described.

Abstract: Methods for training statistical models for the bandgap and energy dispersion 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.

Abstract: Compositions and methods related to straining defect doped materials as well as their methods of use in electrical circuits are generally described.

Abstract: Compositions and methods related to straining defect doped materials as well as their methods of use in electrical circuits are generally described.

Abstract: Methods and devices for manipulating one or more particles (e.g., cells) in three dimensions using surface acoustic waves is described. Methods and devices for printing or more biological cells onto a substrate using surface acoustic waves are also provided.

Abstract: The invention in some aspects relates to high throughput methods and devices for evaluating mechanical, morphological, kinetic, rheological or hematological properties of cells, such as blood cells under regulated gas conditions. In some aspects, the invention relates to methods and devices for diagnosing and/or characterizing a condition or disease in a subject by measuring a property of a cell from the subject, under controlled gas conditions.

Abstract: An apparatus for sorting cells from a mixed population of cells using surface acoustic waves is described. Methods for separating cancer cells from a mixed population of cells are provided. Methods for separating cells or particles having different size, density and/or compressibility properties are also provided.

Abstract: The invention in some aspects relates to methods, devices and compositions for evaluating material properties, such as mechanical and rheological properties of substances, particularly biological substances, such as cells, tissues, and biological fluids. In some aspects, the invention relates to methods, devices and compositions for evaluating material properties of deformable objects, such as cells. In further aspects, the invention relates to methods, devices and compositions for diagnosing and/or characterizing disease based on material properties of biological cells.

Abstract: The invention in some aspects relates to methods, devices and compositions for evaluating material properties, such as mechanical and rheological properties of substances, particularly biological substances, such as cells, tissues, and biological fluids. In some aspects, the invention relates to methods, devices and compositions for evaluating material properties of deformable objects, such as cells. In further aspects, the invention relates to methods, devices and compositions for diagnosing and/or characterizing disease based on material properties of biological cells.

Abstract: The invention in some aspects relates to methods, devices and compositions for evaluating material properties, such as mechanical and rheological properties of substances, particularly biological substances, such as cells, tissues, and biological fluids. In some aspects, the invention relates to methods, devices and compositions for evaluating material properties of deformable objects, such as cells. In further aspects, the invention relates to methods, devices and compositions for diagnosing and/or characterizing disease based on material properties of biological cells.

Abstract: Systems and methods are disclosed that can provide estimates of elasto-plastic properties of material samples using data from instrumented indentation tests. Alternatively, or in addition, estimated load-depth curves can be constructed by certain methods and systems provided based on known mechanical properties. Some disclosed systems and methods use large deformation theory for at least part of the analysis and/or determinations and/or may account for strains of at least 5% in the area of contact between the indenter and the material sample, which can result in more accurate estimates of mechanical properties and/or deformation behavior.