558 citations · 585 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2021★ 27 cited
KLIFF: A framework to develop physics-based and machine learning interatomic potentials
Mingjian Wen, Yaser Afshar, Ryan S. Elliott +1
Interatomic potentials (IPs) are reduced-order models for calculating the potential energy of a system of atoms given their positions in space and species. IPs treat atoms as class…
physics.flu-dyn2019★ 558 cited
Prediction of Aerodynamic Flow Fields Using Convolutional Neural Networks
Yaser Afshar, Saakaar Bhatnagar, Shaowu Pan +2
An approximation model based on convolutional neural networks (CNNs) is proposed for flow field predictions. The CNN is used to predict the velocity and pressure field in unseen fl…