Manuel K. Rausch

According to our database, Manuel K. Rausch authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Fully Differentiable Ultrasound Simulation Utilizing Ray-Tracing.

L. River Spencer, Reagan A. Cardoza, Vijay K. Dubey, Collin E. Haese, Felix Kreidel, Issam Moussa, Manuel K. Rausch, Jan Niklas Fuhg

CoRR, April, 2026

Multiscale topology optimization of compressible and nearly incompressible anisotropic hyperelastic structures using physics-augmented neural networks.

Asghar A. Jadoon, Aryan Tyagi, L. River Spencer, Reese E. Jones, Manuel K. Rausch, Ryan Alberdi, D. Thomas Seidl, Jan Niklas Fuhg

CoRR, April, 2026

A Monolithic Computational Homogenization Framework for Nearly Incompressible Magnetoelastic Composites.

L. River Spencer, Manuel K. Rausch, Chad M. Landis, Jan Niklas Fuhg

CoRR, March, 2026

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, July, 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, June, 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., April, 2025

Polyconvex Physics-Augmented Neural Network Constitutive Models in Principal Stretches.

Adrian Buganza Tepole, Asghar A. Jadoon, Manuel K. Rausch, Jan Niklas Fuhg

CoRR, March, 2025

Generative hyperelasticity with physics-informed probabilistic diffusion fields.

Vahidullah Tac, Manuel K. Rausch, Ilias Bilionis, Francisco Sahli Costabal, Adrian Buganza Tepole

Eng. Comput., February, 2025

2024

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

2023

Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations.

Vahidullah Tac, Manuel K. Rausch, Francisco Sahli Costabal, Adrian Buganza Tepole

CoRR, 2023

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

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

A Brief Note on Building Augmented Reality Models for Scientific Visualization.

Mrudang Mathur, Josef M. Brozovich, Manuel K. Rausch

CoRR, 2022