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◆ Digital Discovery2026-01-01· Inference

High-performance training and inference for deep equivariant interatomic potentials

Chuin Wei Tan, Marc Descoteaux, Mit Kotak, Gabriel de Miranda Nascimento, Seán R. Kavanagh, Laura Zichi, Menghang Wang, Aadit Saluja, Yizhong R. Hu, Tess Smidt, Anders Johansson, William C. Witt, Boris Kozinsky, Albert Musaelian

原始摘要(英文原文)· Original abstract
The NequIP framework is redesigned for scalable distributed training and PyTorch 2.0 compilation. AOT Inductor inference and optimized Allegro kernels accelerate molecular dynamics by factors of 5–18 on practical system sizes.
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High-performance training and inference for deep equivariant interatomic potentials — 科研速览 Science Skim