Understanding high pressure molecular hydrogen with a hierarchical machine-learned potential
Hydrogen has multiple molecular phases which are challenging to explore computationally. The authors develop a machine-learning approach, learning from reference ab initio molecular dynamics simulations, to derive a transferable hierarchical force model that provides insight into high pressure phase...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2020
|
| Subjects: | |
| Online Access: | https://doaj.org/article/8847e5d5db8d47119e4a8c692d3ed252 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|