A neuroevolution machine learning potential trained on 302 DFT structures predicts tobermorite and C-S-H properties accurately and enables 100k+ atom GPU molecular dynamics.
Does nano basic building-block of C-S-H exist? – A review of direct morphologicalobservations,Materials&Design.238(2024)112699
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cond-mat.mes-hall 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
A high-efficiency neuroevolution potential for tobermorite and calcium silicate hydrate systems with ab initio accuracy
A neuroevolution machine learning potential trained on 302 DFT structures predicts tobermorite and C-S-H properties accurately and enables 100k+ atom GPU molecular dynamics.