ロード中...
Nanoscale slip length prediction with machine learning tools
This work incorporates machine learning (ML) techniques, such as multivariate regression, the multi-layer perceptron, and random forest to predict the slip length at the nanoscale. Data points are collected both from our simulation data and data from the literature, and comprise Molecular Dynamics s...
保存先:
| 出版年: | Sci Rep |
|---|---|
| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2021
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8206074/ https://ncbi.nlm.nih.gov/pubmed/34131187 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-91885-x |
| 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!
|