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Jaemin Wang

Showing results (1-10 of 4) with videos related to

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Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|April 30, 2026
Data-Driven Modeling of Composition-Processing-Microstructure Relations for Recycled Aluminum Cast AlloysJaemin Wang, Waleed Mohammed, Dierk Raabe
Npj Computational Materials|February 2, 2026
Compositional complexity buffers free-volume sensitivity and serrated flow in metallic glassesAnurag Bajpai, Jaemin Wang, Dierk Raabe
Nature Communications|May 12, 2026
Attention-enhanced variational learning for physically informed discovery of exceptionally hard multicomponent bulk metallic glassesAnurag Bajpai, Jaemin Wang, Barak Ratzker, et al.
Nature Communications|October 17, 2023
Material-agnostic machine learning approach enables high relative density in powder bed fusion productsJaemin Wang, Sang Guk Jeong, Eun Seong Kim, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|April 30, 2026
Data-Driven Modeling of Composition-Processing-Microstructure Relations for Recycled Aluminum Cast AlloysJaemin Wang, Waleed Mohammed, Dierk Raabe
Npj Computational Materials|February 2, 2026
Compositional complexity buffers free-volume sensitivity and serrated flow in metallic glassesAnurag Bajpai, Jaemin Wang, Dierk Raabe
Nature Communications|May 12, 2026
Attention-enhanced variational learning for physically informed discovery of exceptionally hard multicomponent bulk metallic glassesAnurag Bajpai, Jaemin Wang, Barak Ratzker, et al.
Nature Communications|October 17, 2023
Material-agnostic machine learning approach enables high relative density in powder bed fusion productsJaemin Wang, Sang Guk Jeong, Eun Seong Kim, et al.
Pageof 1