ロード中...
Direct Prediction of Phonon Density of States With Euclidean Neural Networks
Machine learning has demonstrated great power in materials design, discovery, and property prediction. However, despite the success of machine learning in predicting discrete properties, challenges remain for continuous property prediction. The challenge is aggravated in crystalline solids due to cr...
保存先:
| 出版年: | Adv Sci (Weinh) |
|---|---|
| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley and Sons Inc.
2021
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8224435/ https://ncbi.nlm.nih.gov/pubmed/34165895 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/advs.202004214 |
| タグ: |
タグ追加
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!
|