| NN-EUCLID: Deep-learning hyperelasticity without stress data P Thakolkaran, A Joshi, Y Zheng, M Flaschel, L De Lorenzis, S Kumar Journal of the Mechanics and Physics of Solids 169, 105076, 2022 | 74 | 2022 |
| Bayesian-EUCLID: Discovering hyperelastic material laws with uncertainties A Joshi, P Thakolkaran, Y Zheng, M Escande, M Flaschel, L De Lorenzis, ... Computer Methods in Applied Mechanics and Engineering 398, 115225, 2022 | 40 | 2022 |
| Sustainable valorization of asphaltenes via flash joule heating M Saadi, PA Advincula, MSH Thakur, AZ Khater, S Saad, ... Science Advances 8 (46), eadd3555, 2022 | 18 | 2022 |
| Inverse Design of Vitrimeric Polymers by Molecular Dynamics and Generative Modeling Y Zheng, P Thakolkaran, JA Smith, Z Lu, S Zheng, BH Nguyen, S Kumar, ... arXiv, 2023 | 1 | 2023 |
| Deep learning reveals key predictors of thermal conductivity in covalent organic frameworks P Thakolkaran, Y Zheng, Y Guo, A Vashisth, S Kumar arXiv preprint arXiv:2409.06457, 2024 | | 2024 |
Prakash ThakolkaranPhD Candidate, TU DelftVerified email at tudelft.nl
