Bibliographic Details
| Title: |
Machine learning coarse grained models for water |
| Authors: |
Henry Chan, Mathew J. Cherukara, Badri Narayanan, Troy D. Loeffler, Chris Benmore, Stephen K. Gray, Subramanian K. R. S. Sankaranarayanan |
| Source: |
Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019) |
| Publisher Information: |
Nature Portfolio, 2019. |
| Publication Year: |
2019 |
| Collection: |
LCC:Science |
| Subject Terms: |
Science |
| More Details: |
A computationally efficient description of ice-water systems at the mesoscopic scale is challenging due to system size and timescale limitations. Here the authors develop a machine-learned coarse-grained water model to elucidate the ice nucleation process much more efficiently than previous models. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2041-1723 |
| Relation: |
https://doaj.org/toc/2041-1723 |
| DOI: |
10.1038/s41467-018-08222-6 |
| Access URL: |
https://doaj.org/article/e694cefa440e4058adee19ae8691e135 |
| Accession Number: |
edsdoj.694cefa440e4058adee19ae8691e135 |
| Database: |
Directory of Open Access Journals |
