83 citations · 83 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2021★ 83 cited
Ultra-fast interpretable machine-learning potentials
Stephen R. Xie, Matthias Rupp, Richard G. Hennig
All-atom dynamics simulations are an indispensable quantitative tool in physics, chemistry, and materials science, but large systems and long simulation times remain challenging du…
physics.bio-ph2015
Fast nastic motion of plants and bio-inspired structures
Qiaohang Guo, Eric Dai, Xiaomin Han +3
The capability to sense and respond to external mechanical stimuli at various timescales is essential to many physiological aspects in plants, including self-protection, intake of…