Uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learning
Crystallization is a challenging process to model quantitatively. Here the authors use machine learning and atomistic simulations together to uncover the role of the liquid structure on the process of crystallization and derive a predictive kinetic model of crystal growth.
Saved in:
| Main Authors: | , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2020
|
| Subjects: | |
| Online Access: | https://doaj.org/article/964c406f580d4fc48ff08ec6be350803 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|