Machine-Learned Potentials by Active Learning from Organic Crystal Structure Prediction Landscapes.

Saved in:
Bibliographic Details
Title: Machine-Learned Potentials by Active Learning from Organic Crystal Structure Prediction Landscapes.
Authors: Butler PWV; School of Chemistry, University of Southampton, Southampton SO17 1BJ, U.K., Hafizi R; School of Chemistry, University of Southampton, Southampton SO17 1BJ, U.K., Day GM; School of Chemistry, University of Southampton, Southampton SO17 1BJ, U.K.
Source: The journal of physical chemistry. A [J Phys Chem A] 2024 Feb 08; Vol. 128 (5), pp. 945-957. Date of Electronic Publication: 2024 Jan 26.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 9890903 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5215 (Electronic) Linking ISSN: 10895639 NLM ISO Abbreviation: J Phys Chem A Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first