3 papers
cond-mat.mtrl-sci2026
Accelerating phase-field simulations on exascale computing systems for faster-than-real-time precipitate aging predictions
Stephen DeWitt, David J. Gardner, Philip Fackler +4
Three-dimensional phase-field simulations are a gold-standard for microstructure prediction for materials, but their computational cost often limits application-relevant calculatio…
cond-mat.mtrl-sci2026
Phase-field simulations of nucleation, growth, and coarsening of precipitates in Mg-Nd alloys
Lingxia Shi, Stephen DeWitt, David Montiel +3
The spatial distribution and morphology of precipitates formed during aging are key factors that determine the precipitation-hardening response of various magnesium-rare-earth allo…
cs.CE2024
GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure
Yigong Qin, Stephen DeWitt, Balasubramaniam Radhakrishnan +1
We propose GrainGNN, a surrogate model for the evolution of polycrystalline grain structure under rapid solidification conditions in metal additive manufacturing. High fidelity sim…