Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks. - Mitchell Daneker; Zhen Zhang 029; George Em Karniadakis; Lu Lu 010 (CoRR, 2022)

Effective Data Sampling Strategies and Boundary Condition Constraints of Physics-Informed Neural Networks for Identifying Material Properties in Solid Mechanics. - Wensi Wu; Mitchell Daneker; Matthew A. Jolley; Kevin T. Turner; Lu Lu 010 (CoRR, 2022)

Identifying heterogeneous micromechanical properties of biological tissues via physics-informed neural networks. - Wensi Wu; Mitchell Daneker; Kevin T. Turner; Matthew A. Jolley; Lu Lu 010 (CoRR, 2024)

ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue. - Wensi Wu; Mitchell Daneker; Christian Herz; Hannah Dewey; Jeffrey A. Weiss; Alison M. Pouch; Lu Lu 010; Matthew A. Jolley (CoRR, 2024)

Active operator learning with predictive uncertainty quantification for partial differential equations. - Nick Winovich; Mitchell Daneker; Lu Lu 010; Guang Lin (CoRR, 2025)