Published July 11, 2021 | Version 1
Dataset Open

Machine Learning-Assisted High-Throughput Exploration of Interface Energy Space in Multi-Phase-FieldModel with CALPHAD potential

  • 1. Texas A&M University

Contributors

Project leader:

Supervisor:

  • 1. Texas A&M University

Description

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

 

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ML-assisted phase-field modeling.zip

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