165 citations · 165 across the 3 of their papers we have counts for
3 papers
physics.comp-ph2017★ 165 cited
Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
Chi Chen, Zhi Deng, Richard Tran +3
In this work, we present a highly accurate spectral neighbor analysis potential (SNAP) model for molybdenum (Mo) developed through the rigorous application of machine learning tech…
cond-mat.mtrl-sci2015
Preventing rapid energy loss from electron-hole pairs to phonons in graphene quantum dots
Jonathan Trinastic, Iek-Heng Chu, Hai-Ping Cheng
In semiconductors, photoexcited electrons and holes (carriers) initially occupy high-energy states, but quickly lose energy to phonons and relax to the band edge within a picosecon…
physics.comp-ph2015
Electron transport in graphene/graphene side-contact junction by plane-wave multiple scattering method
Xiang-Guo Li, Iek-Heng Chu, X. -G. Zhang +1
Electron transport in graphene is along the sheet but junction devices are often made by stacking different sheets together in a "side-contact" geometry which causes the current to…