01
Rare-earth-free permanent magnets
Physics-based modeling and machine-learning microstructure quantification for magnetic-field-assisted manufacturing.
Computational materials design · Boise, Idaho
Designing materials before they are made.
We combine physics-based modeling and materials informatics to understand how chemistry, processing, and microstructure determine material performance.
PROCESSStructurePROPERTY
From atoms to engineered performance
Research directions
Linking scales.
Accelerating discovery.
Our work advances the science and engineering of materials microstructure across aerospace, energy, and biomedical applications.
All research areas02
Materials informatics
Data-driven methods that connect chemistry, processing, structure, and properties to accelerate materials discovery.
03
Transformable materials
Multiscale models of phase transformation, deformation, durability, and fracture in shape-memory materials.
04
Materials digital twins
Physics-informed digital twins and deep learning for estimating material behavior from evolving microstructures.
05
Semiconductor materials & reliability
UPWARDS research connecting materials, devices, reliability, and workforce development across the U.S. and Japan.