| Reinforcement learning applied to metamaterial design T Shah, L Zhuo, P Lai, A De La Rosa-Moreno, F Amirkulova, P Gerstoft The Journal of the Acoustical Society of America 150 (1), 321-338, 2021 | 34 | 2021 |
| Acoustic metamaterial design framework using deep learning and generative modeling F Amirkulova, L Zhou, A Abbas, P Lai, C Qiu, TA Shah The Journal of the Acoustical Society of America 151 (4), A253-A253, 2022 | 3 | 2022 |
| Reinforcement learning for acoustic metamaterial design TA Shah, F Amirkulova The Journal of the Acoustical Society of America 151 (4), A255-A255, 2022 | 2 | 2022 |
| Taming Waves: A Physically-Interpretable Machine Learning Framework for Realizable Control of Wave Dynamics T Shah, F Amirkulova, S Tiomkin arXiv preprint arXiv:2312.09460, 2023 | | 2023 |
| The wave equation as a differentiable-programmable computer for the design of acoustic metamaterials TA Shah, S Tiomkin, F Amirkulova The Journal of the Acoustical Society of America 154 (4_supplement), A232-A233, 2023 | | 2023 |
| Deep reinforcement learning-based framework for the design of broadband acoustic metamaterials TA Shah, F Amirkulova The Journal of the Acoustical Society of America 152 (4), A170-A170, 2022 | | 2022 |
Feruza A AmirkulovaAssistant Professor of Mechanical Engineering at San Jose State UniversityVerified email at sjsu.edu
