Open Access
Open access
RSC Advances, volume 13, issue 45, pages 31728-31737

Strategic sampling with stochastic surface walking for machine learning force fields in iron's bcc–hcp phase transitions

Publication typeJournal Article
Publication date2023-10-30
Journal: RSC Advances
scimago Q1
SJR0.715
CiteScore7.5
Impact factor3.9
ISSN20462069
PubMed ID:  37908655
General Chemistry
General Chemical Engineering
Abstract

A machine learning force field for predicting the bcc–hcp phase transitions of iron, demonstrates good performance with DFT calculations, offering new insights and approaches for materials science and solid-state physics research.

Top-30

Journals

1
1

Publishers

1
1
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Share
Cite this
GOST | RIS | BibTex | MLA
Found error?
Profiles