| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5447134 | Journal of Materiomics | 2017 | 52 Pages |
Abstract
Machine learning provides a new means of screening novel materials with good performance, developing quantitative structure-activity relationships (QSARs) and other models, predicting the properties of materials, discovering new materials and performing other materials-relateds studies.378
Keywords
Related Topics
Physical Sciences and Engineering
Materials Science
Electronic, Optical and Magnetic Materials
Authors
Yue Liu, Tianlu Zhao, Wangwei Ju, Siqi Shi,