A physics-informed feature engineering approach to use machine learning with limited amounts of data for alloy design: shape memory alloy demonstration. - Sen Liu 009; Branden B. Kappes; Behnam Amin-ahmadi; Othmane Benafan; Aaron P. Stebner; Xiaoli Zhang (CoRR, 2020)

A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing. - Rui Liu 003; Sen Liu 009; Xiaoli Zhang 002 (CoRR, 2021)

Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing. - Noopur Jamnikar; Sen Liu 009; Craig Brice; Xiaoli Zhang (CoRR, 2021)

Machine learning based in situ quality estimation by molten pool condition-quality relations modeling using experimental data. - Noopur Jamnikar; Sen Liu 009; Craig Brice; Xiaoli Zhang (CoRR, 2021)