| FaultNet: A deep convolutional neural network for bearing fault classification R Magar, L Ghule, J Li, Y Zhao, AB Farimani IEEE access 9, 25189-25199, 2021 | 92 | 2021 |
| A composable machine-learning approach for steady-state simulations on high-resolution grids R Ranade, C Hill, L Ghule, J Pathak Advances in Neural Information Processing Systems 35, 17386-17401, 2022 | 9 | 2022 |
| ManufacturingNet: A machine learning toolbox for engineers A Antony, C Guntuboina, R Magar, L Ghule, R Doshi, A Khalid, ... SoftwareX 23, 101478, 2023 | 1 | 2023 |
| NLP Inspired Training Mechanics For Modeling Transient Dynamics L Ghule, R Ranade, J Pathak arXiv preprint arXiv:2211.02716, 2022 | 1 | 2022 |
| ManufacturingNet: A Machine Learning Toolbox for Engineers R Magar, L Ghule, R Doshi, A Khalid, S Seshadri, AB Farimani Workshop on machine learning for engineering modeling, simulation and design, 2020 | 1 | 2020 |
| A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations S Nidhan, H Jiang, L Ghule, C Umphrey, R Ranade, J Pathak arXiv preprint arXiv:2408.14461, 2024 | | 2024 |
| Supplementary Materials: A composable machine-learning approach for steady-state simulations on high-resolution grids R Ranade, C Hill, FB Unit, L Ghule, J Pathak | | |
Amir Barati FarimaniRussell V. Trader Associate Professor at Carnegie Mellon UniversityAdresse e-mail validée de stanford.edu