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AIPHAD, an active learning web application for visual understanding of phase diagrams

Engineering and Technology

AIPHAD, an active learning web application for visual understanding of phase diagrams

R. Tamura, H. Morito, et al.

Discover how AIPHAD, an innovative open-source web application, harnesses artificial intelligence to revolutionize phase diagram exploration. This groundbreaking research, conducted by Ryo Tamura, Haruhiko Morito, Guillaume Deffrennes, Masanobu Naito, Yoshitaro Nose, Taichi Abe, and Kei Terayama, showcases the efficient identification of the Heusler phase in the Fe-Ti-Sn ternary system through advanced machine learning techniques.

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