Machine Learning-Assisted High-Throughput Exploration of Interface Energy Space in Multi-Phase-FieldModel with CALPHAD potential
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The data was interpreted in the following article: Machine Learning-Assisted High-Throughput Exploration of Interface Energy Space in Multi-Phase-FieldModel with CALPHAD potential Vahid Attari, Raymundo Arroyave Texas A&M University Link to article: https://doi.org/10.1186/s41313-021-00038-0 For more information please refer to Open Phase-field Microstructure Database (OPMD) curated at https://microstructures.net.
创建时间：
2022-01-06
