SPaDe-CSP workflow for faster crystal structure prediction (IMAGE)

Waseda University

SPaDe-CSP workflow for faster crystal structure prediction

Caption

SPaDe-CSP first predicts most probable space groups and crystal densities using machine learning and then employs an efficient neural network potential for structure refinement.

Credit

Takuya Taniguchi from Waseda University

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