Detection Method on Data Accuracy Incorporating Materials Domain Knowledge
Author:
Publisher
Shanghai Institute of Ceramics
Subject
Inorganic Chemistry,General Materials Science
Reference29 articles.
1. MURPHY K P. Machine learning:a probabilistic perspective. Cambridge: MIT Press, 2012.
2. LIU Y, GUO B R, ZOU X X, et al. Machine learning assisted materials design and discovery for rechargeable batteries. Energy Storage Materials, 2020, 31: 434-450.
3. LIU Y, ZHAO T L, WU J M, et al. Materials discovery and design using machine learning. Journal of Materiomics, 2017, 3: 159-177.
4. GUBERNATIS J E, LOOKMAN T. Machine learning in materials design and discovery: examples from the present and suggestions for the future. Physical Review Materials, 2018, 2(12): 120301.
5. RAMPRASAD R, BATRA R, PILANIA G, et al. Machine learning in materials informatics: recent applications and prospects. npj Computational Materials, 2017, 3: 54.
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