[G] Phase Stability and Phase Transformations

12:45 PM - 1:00 PM JST(3:45 AM - 4:00 AM UTC)

[435] Accelerated Development of Thermodynamic Database using Machine Learning Potential

*Arkapol Saengdeejing¹, Ryoji Sahara¹, Hiori Kino^1,2, Toyohiro Chikyow¹ (1. NIMS、2. ISM)

Keywords:

CALPHAD,Machine learning potential,Phase diagram

Developing CALPHAD-type themodynamic database using the data from machine learning potential. Compared with DFT, the computational resources are significantly lower.