most citedA machine learning-based classification approach for phase diagram prediction

46 citations · 46 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mtrl-sci2022★ 46 cited

A machine learning-based classification approach for phase diagram prediction

Guillaume Deffrennes, Kei Terayama, Taichi Abe +1

Knowledge of phase diagrams is essential for material design as it helps in understanding microstructure evolution during processing. The determination of phase diagrams is thus on…