29 citations · 114 across the 9 of their papers we have counts for
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cond-mat.str-el2022★ 15 cited
Machine learning predictions for local electronic properties of disordered correlated electron systems
Yi-Hsuan Liu, Sheng Zhang, Puhan Zhang +2
We present a scalable machine learning (ML) model to predict local electronic properties such as on-site electron number and double occupation for disordered correlated electron sy…
cond-mat.str-el2022★ 4 cited
Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems
Puhan Zhang, Sheng Zhang, Gia-Wei Chern
We outline the general framework of machine learning (ML) methods for multi-scale dynamical modeling of condensed matter systems, and in particular of strongly correlated electron…