2 papers
cond-mat.mtrl-sci2026
SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling
Pouria Behnoudfar, Deekshith Naidu Ponnana, Noah J. Schmelzer +6
We present a probabilistic modeling framework for incorporating small-scale spatial heterogeneity into macroscopic descriptions of material behavior for polycrystalline metallic ma…
cond-mat.mtrl-sci2026
Finite-width adiabatic shear banding and dislocation patterning in mesoscale polycrystalline aggregates
Siddharth Singh, Rajat Arora, Janith Wanni +6
Dynamic shear banding under adiabatic conditions in a mesoscale polycrystalline aggregate is studied using a model of mesoscale dislocation mechanics and experiments. The model inv…