Vahidullah Tac

According to our database, Vahidullah Tac authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

Texture Independently Drives Liking in AI-Generated Alternative Protein Burgers.

Vahidullah Tac, Aeneas O. Koosis, Ellen Kuhl

CoRR, May, 2026

Generative AI for material design: A mechanics perspective from burgers to matter.

Vahidullah Tac, Ellen Kuhl

CoRR, April, 2026

Generative Artificial Intelligence creates delicious, sustainable, and nutritious burgers.

Vahidullah Tac, Christopher Gardner, Ellen Kuhl

CoRR, February, 2026

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

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

2023

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

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

CoRR, 2023

Benchmarks for physics-informed data-driven hyperelasticity.

Vahidullah Tac, Kevin Linka, Francisco Sahli Costabal, Ellen Kuhl, 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

2021

Automatically Polyconvex Strain Energy Functions using Neural Ordinary Differential Equations.

Vahidullah Tac, Francisco Sahli Costabal, Adrian Buganza Tepole

CoRR, 2021