D
David Liang
Publications - 2
Citations - 5
David Liang is an academic researcher. The author has contributed to research in topics: Autoencoder & Force field (fiction). The author has co-authored 1 publications.
Papers
More filters
Journal ArticleDOI
Supervised machine learning approach to molecular dynamics forecast of SARS-CoV-2 spike glycoproteins at varying temperatures.
TL;DR: In this paper, a machine learning solution was proposed to predict long-term properties of SARS-CoV-2 spike glycoproteins (S-protein) through the analysis of its nanosecond backbone RMSD (root-mean-square deviation) simulation data at varying temperatures.
Journal ArticleDOI
Coarse-Grained Modeling of the SARS-CoV-2 Spike Glycoprotein by Physics-Informed Machine Learning
TL;DR: In this article , a physics-informed machine learning (PIML) framework was proposed for coarse-grained (CG) modeling and applied as a verification for modeling the SARS-CoV-2 spike glycoprotein.