Kushal Raj Roy

Cross-geometry pretraining for equivariant neural networks: Improving molecular property prediction under computational constraints

Neural operators have revolutionized parametric partial differential equation solving by learning mappings between infinite-dimensional function spaces with unprecedented parameter space generalization. Despite recent advances in physics-informed neural networks and operator learning methods, the challenge of geometry...