5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.DC2026
Breaking the Training Barrier of Billion-Parameter Universal Machine Learning Interatomic Potentials
Yuanchang Zhou, Hongyu Wang, Yiming Du +12
Universal Machine Learning Interatomic Potentials (uMLIPs), pre-trained on massively diverse datasets encompassing inorganic materials and organic molecules across the entire perio…
astro-ph.IM2021★ 5 cited
Accelerating NBODY6 with a GPU-Enabled Particle-Particle Particle-Tree Scheme
Anthony D. Arnold, Holger Baumgardt, Long Wang
We describe a modified version of the NBODY6 code for simulating star clusters which greatly improves computational efficiency while sacrificing little in the way of accuracy. The…