Machine Learning-Enabled Development of Accurate Force Fields for Refrigerants.
Saved in:
| Title: | Machine Learning-Enabled Development of Accurate Force Fields for Refrigerants. |
|---|---|
| Authors: | Wang N; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States., Carlozo MN; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States., Marin-Rimoldi E; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States., Befort BJ; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States., Dowling AW; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States., Maginn EJ; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States. |
| Source: | Journal of chemical theory and computation [J Chem Theory Comput] 2023 Jul 25; Vol. 19 (14), pp. 4546-4558. Date of Electronic Publication: 2023 Jun 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 101232704 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-9626 (Electronic) Linking ISSN: 15499618 NLM ISO Abbreviation: J Chem Theory Comput Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
