High-efficient
| Autor: | Xing-Yu, Ma, Hou-Yi, Lyu, Kuan-Rong, Hao, Zhen-Gang, Zhu, Qing-Bo, Yan, Gang, Su |
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| Rok vydání: | 2021 |
| Zdroj: | Nanoscale. 13(35) |
| ISSN: | 2040-3372 |
| Popis: | Beyond the conventional trial-and-error method, machine learning offers a great opportunity to accelerate the discovery of functional materials, but still often suffers from difficulties such as limited materials data and the unbalanced distribution of target properties. Here, we propose the |
| Databáze: | OpenAIRE |
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