2 papers
cs.LG2026
Scaling Kinetic Monte-Carlo Simulations of Grain Growth with Combined Convolutional and Graph Neural Networks
Zhihui Tian, Ethan Suwandi, Tomas Oppelstrup +3
Graph neural networks (GNN) have emerged as a promising machine learning method for microstructure simulations such as grain growth. However, accurate modeling of realistic grain b…
physics.comp-ph2024
A Metric on the Polycrystalline Microstructure State Space
Dylan Miley, Ethan Suwandi, Benjamin Schweinhart +1
Material microstructures are traditionally compared using sets of statistical measures that are incomplete, e.g., two visually distinct microstructures can have identical grain siz…