A Brief Note on Building Augmented Reality Models for Scientific Visualization. - Mrudang Mathur; Josef M. Brozovich; Manuel K. Rausch (CoRR, 2022)

Texas TriValve 1.0 : a reverse-engineered, open model of the human tricuspid valve. - Mrudang Mathur; William D. Meador; Marcin Malinowski; Tomasz Jazwiec; Tomasz A. Timek; Manuel K. Rausch (Eng. Comput., 2022)

Data-driven modeling of the mechanical behavior of anisotropic soft biological tissue. - Vahidullah Tac; Vivek D. Sree; Manuel K. Rausch; Adrian Buganza Tepole (Eng. Comput., 2022)

Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations. - Vahidullah Tac; Manuel K. Rausch; Francisco Sahli Costabal; Adrian Buganza Tepole (CoRR, 2023)

Inverse design of anisotropic microstructures using physics-augmented neural networks. - Asghar A. Jadoon; Karl A. Kalina; Manuel K. Rausch; Reese E. Jones; Jan Niklas Fuhg (CoRR, 2024)

Generative hyperelasticity with physics-informed probabilistic diffusion fields. - Vahidullah Tac; Manuel K. Rausch; Ilias Bilionis; Francisco Sahli Costabal; Adrian Buganza Tepole (Eng. Comput., 2025)

Polyconvex Physics-Augmented Neural Network Constitutive Models in Principal Stretches. - Adrian Buganza Tepole; Asghar A. Jadoon; Manuel K. Rausch; Jan Niklas Fuhg (CoRR, 2025)

A universal material model subroutine for soft matter systems. - Mathias Peirlinck; Juan A. Hurtado; Manuel K. Rausch; Adrian Buganza Tepole; Ellen Kuhl (Eng. Comput., 2025)

Fully data-driven inverse hyperelasticity with hyper-network neural ODE fields. - Vahidullah Tac; Amirhossein Amiri-Hezaveh; Manuel K. Rausch; Grace N. Bechtel; Francisco Sahli Costabal; Adrian Buganza Tepole (CoRR, 2025)

Graph Neural Network Surrogates for Contacting Deformable Bodies with Necessary and Sufficient Contact Detection. - Vijay K. Dubey; Collin E. Haese; Osman Gültekin; David Dalton; Manuel K. Rausch; Jan Niklas Fuhg (CoRR, 2025)