| 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 | 109 | 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 | 53 | 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 | 33 | 2022 |
| AI‐Guided Inverse Design and Discovery of Recyclable Vitrimeric Polymers Y Zheng, P Thakolkaran, AK Biswal, JA Smith, Z Lu, S Zheng, BH Nguyen, ... Advanced Science 12 (6), 2411385, 2025 | 2* | 2025 |
| Localized Radiofrequency Heating for Enhanced Thermoelectric Energy Generation Using Natural Galena Ore Y Zheng, RK Sahu, PR Sreeram, S Banik, A Vashisth, CS Tiwary arXiv preprint arXiv:2502.16837, 2025 | | 2025 |
| Accelerated ReaxFF Simulations of Vitrimers with Dynamic Covalent Adaptive Networks Y Zheng, V Varshney, A Vashisth | | 2025 |
| Flexible and Stretchable Vitrimers for Sustainable Electronics AK Biswal, P Hong, Z Zhang, Y Zheng, S Gupta, D Nepal, V Iyer, ... ACS Applied Materials & Interfaces, 2025 | | 2025 |
| 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 |
Sid KumarTU DelftPreverjeni e-poštni naslov na tudelft.nl