Surface diffusion
Numerical materials physics
Make internal changes visible through computation.
Phase field · Finite elements · Dislocation dynamics · Diffusion
Follow grain restructuring, defect motion and cavity growth. Numerical models connect energy, mechanics and transport, providing insight into material behavior and data for Physics AI.
Three-dimensional cavity evolution
Understand how processing changes microstructure.
Coupled phase-field and crystal-plasticity models follow grain nucleation, growth and deformation together. They reveal how an evolving structure changes the material response.
See the mechanisms behind void growth.
Diffusion and stress compete to reshape internal cavities. Finite-element models follow the moving boundary and reveal why different mechanisms produce different shapes.
Initial contourEvolving contour
Competing transport
Bulk diffusion
Follow the entire cavity surface.
Three-dimensional FEM follows the entire cavity wall, revealing local smoothing and overall shape change. Explore how neighboring cavities interact.
Explore interacting voids
Follow the feedback between defects and diffusion.
Solute redistribution changes the environment around a dislocation; the evolving defect changes transport in return. Coupled dynamics resolves both processes in the same material model.
Bring more material ideas into computation.
GPU parallelism and efficient numerical kernels make repeated studies of defects, diffusion and microstructure more practical, while building data for Physics AI.
Resolve mechanisms
Compute defects, transport and changing structures.
Explore more conditions
Reuse numerical kernels across parameter studies.
Build model references
Supply high-fidelity states for training and validation.