most citedMultimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys

15 citations · 15 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2026★ 15 cited

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys

Daiki Kuriki, Fabien Briffod, Takayuki Shiraiwa +1

This study proposes a method for predicting three-dimensional (3D) local strain distribution under compressive deformation of as-cast Mg/LPSO two-phase alloys from 3D microstructur…