Multiscale Modeling of Materials LabSan Diego State University

Research project

AI/ML

AI/ML for Materials Microstructure and Processing

Data-driven models can help connect processing conditions, microstructure descriptors, and material response.

Research focus

The lab uses machine-learning ideas to accelerate multiscale modeling and identify interpretable links among simulated microstructures, processing routes, and properties.

Methods

machine learningfeature engineeringmultiscale datamodel validation