4 citations · 4 across the 2 of their papers we have counts for
2 papers
cond-mat.dis-nn2023
Machine learning force-field models for metallic spin glass
Menglin Shi, Sheng Zhang, Gia-Wei Chern
Metallic spin glass systems, such as dilute magnetic alloys, are characterized by randomly distributed local moments coupled to each other through a long-range electron-mediated ef…
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…