1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026
NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning
Jay L. Kaplan, Samuel Varner, Rebecca Willett +1
Equivariant graph neural networks have emerged as foundational architectures for machine-learned interatomic potentials, approaching quantum-chemical accuracy at a fraction of the…
math.NA2025★ 1 cited
Hardware Acceleration for HPS Algorithms in Two and Three Dimensions
Owen Melia, Daniel Fortunato, Jeremy Hoskins +1
We provide a flexible, open-source framework for hardware acceleration, namely massively-parallel execution on general-purpose graphics processing units (GPUs), applied to the hier…