Machine Learning a General-Purpose Interatomic Potential for Silicon
The success of first-principles electronic-structure calculation for predictive modeling in chemistry, solid-state physics, and materials science is constrained by the limitations on simulated length scales and timescales due to the computational cost and its scaling. Techniques based on machine-lea...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Physical Society
2018-12-01
|
| シリーズ: | Physical Review X |
| オンライン･アクセス: | http://doi.org/10.1103/PhysRevX.8.041048 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|