| Data-driven tissue mechanics with polyconvex neural ordinary differential equations V Tac, FS Costabal, AB Tepole Computer Methods in Applied Mechanics and Engineering 398, 115248, 2022 | 73 | 2022 |
| Data-driven modeling of the mechanical behavior of anisotropic soft biological tissue V Tac, VD Sree, MK Rausch, AB Tepole Engineering with Computers 38 (5), 4167–4182, 2022 | 56 | 2022 |
| Benchmarking physics-informed frameworks for data-driven hyperelasticity V Taç, K Linka, F Sahli-Costabal, E Kuhl, AB Tepole Computational mechanics 73 (1), 49-65, 2024 | 49* | 2024 |
| Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations V Taç, MK Rausch, FS Costabal, AB Tepole Computer methods in applied mechanics and engineering 411, 116046, 2023 | 39 | 2023 |
| Predicting the mechanical properties of biopolymer gels using neural networks trained on discrete fiber network data Y Leng, V Tac, S Calve, AB Tepole Computer Methods in Applied Mechanics and Engineering 387, 114160, 2021 | 27 | 2021 |
| Micromechanical modelling of carbon nanotube reinforced composite materials with a functionally graded interphase V Taç, E Gürses Journal of Composite Materials 53 (28-30), 4337-4348, 2019 | 8 | 2019 |
| Experimental Determination of the Stress Intensity Factor Using Photoelasticity W Taj Matter 2 (1), 2110-2116, 2015 | 3 | 2015 |
| Data-driven continuum damage mechanics with built-in physics V Tac, E Kuhl, AB Tepole Extreme Mechanics Letters 71, 102220, 2024 | 2 | 2024 |
| Generative hyperelasticity with physics-informed probabilistic diffusion fields V Taç, MK Rausch, I Bilionis, F Sahli Costabal, AB Tepole Engineering with Computers, 1-19, 2024 | 1 | 2024 |
| Dynamic frictional sliding modes between two homogenous interfaces W Taj, D Coker IOP Conference Series: Materials Science and Engineering 295 (1), 012001, 2018 | 1 | 2018 |
| Tissue expansion mitigates radiation-induced skin fibrosis in a porcine model L Nunez-Alvarez, JK Ledwon, S Applebaum, B Progri, T Han, J Laudo, ... Acta Biomaterialia 189, 427-438, 2024 | | 2024 |
| Machine Learning with Hard Constraints: physics-constrained Constitutive Models with Neural odes and Diffusion V Tac Purdue University, 2024 | | 2024 |
| A Modeler׳s Guide to Soft Tissue Mechanics V Tac, AB Tepole Elsevier, 2024 | | 2024 |
Adrián Buganza TepolePurdue Universitypurdue.edu의 이메일 확인됨