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PyAPX: Python toolkit for atomic configuration pattern exploration

Published in Sci. Rep. (2026) • Apr 11, 2026
Authors:
Akira Kusaba
,
Tetsuji Kuboyama
,
Karol Kawka

Abstract

In materials discovery, the integration of first-principles calculations with machine learning techniques has been actively studied for two key tasks: crystal structure prediction, which searches for stable structures given a chemical composition, and elemental substitution, which explores chemical ...

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