| Transformer for partial differential equations' operator learning Z Li, K Meidani, AB Farimani TMLR, 2022 | 85 | 2022 |
| MeltpoolNet: Melt pool characteristic prediction in Metal Additive Manufacturing using machine learning P Akbari, F Ogoke, NY Kao, K Meidani, CY Yeh, W Lee, AB Farimani Additive Manufacturing 55, 102817, 2022 | 68 | 2022 |
| Adaptive grey wolf optimizer K Meidani, AP Hemmasian, S Mirjalili, A Barati Farimani Neural Computing and Applications 34 (10), 7711-7731, 2022 | 64 | 2022 |
| Titanium carbide MXene for water desalination: a molecular dynamics study K Meidani, Z Cao, A Barati Farimani ACS Applied Nano Materials 4 (6), 6145-6151, 2021 | 59 | 2021 |
| Graph neural networks accelerated molecular dynamics Z Li, K Meidani, P Yadav, A Barati Farimani The Journal of Chemical Physics 156 (14), 2022 | 52 | 2022 |
| Graph convolutional networks applied to unstructured flow field data F Ogoke, K Meidani, A Hashemi, AB Farimani Machine Learning: Science and Technology 2 (4), 045020, 2021 | 48* | 2021 |
| Data-driven identification of 2D partial differential equations using extracted physical features K Meidani, AB Farimani Computer Methods in Applied Mechanics and Engineering 381, 113831, 2021 | 17 | 2021 |
| Online metaheuristic algorithm selection K Meidani, S Mirjalili, AB Farimani Expert Systems with Applications 201, 117058, 2022 | 13 | 2022 |
| Transformer-based Planning for Symbolic Regression P Shojaee, K Meidani, AB Farimani, CK Reddy NeurIPS 2023, 2023 | 12 | 2023 |
| Identification of parametric dynamical systems using integer programming K Meidani, AB Farimani Expert Systems with Applications 219, 119622, 2023 | 9 | 2023 |
| MAB-OS: multi-armed bandits metaheuristic optimizer selection K Meidani, S Mirjalili, AB Farimani Applied Soft Computing 128, 109452, 2022 | 9 | 2022 |
| SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training K Meidani, P Shojaee, CK Reddy, AB Farimani ICLR 2024, 2023 | 6 | 2023 |
| VecMetaPy: a vectorized framework for metaheuristic optimization in Python AP Hemmasian, K Meidani, S Mirjalili, AB Farimani Advances in Engineering Software 166, 103092, 2022 | 4 | 2022 |
| LLM-SR: Scientific Equation Discovery via Programming with Large Language Models P Shojaee, K Meidani, S Gupta, A Barati Farimani, CK Reddy https://arxiv.org/abs/2404.18400, 2024 | 2 | 2024 |
| Inverse Lighting with Differentiable Physically-Based Model K Meidani, I Borovikov, A Barati Farimani, H Chaput Learning and Intelligent Optimization (LION) 2023, 2023 | | 2023 |
| Mesh-agnostic PDE Operator Learning with Attention Z Li, K Meidani, A Barati Farimani APS March Meeting Abstracts 2023, T00. 294, 2023 | | 2023 |
| Accelerating Optimization Using Vectorized Moth-Flame Optimizer (vMFO) AP Hemmasian, K Meidani, S Mirjalili, AB Farimani Handbook of Moth-Flame Optimization Algorithm, 97-109, 2022 | | 2022 |
| Learning Parametric Dynamical Systems from Videos with Integer Programming K Meidani, A Barati Farimani APS March Meeting Abstracts 2022, N09. 007, 2022 | | 2022 |
| Learning equations of transport phenomena and fluid dynamics from data K Meidani, A Barati Farimani APS Division of Fluid Dynamics Meeting Abstracts, W16. 005, 2020 | | 2020 |
| Inference on spatially unstructured flow fields using Graph Neural Networks F Ogoke, K Meidani, A Hashemi, A Barati Farimani APS Division of Fluid Dynamics Meeting Abstracts, S01. 023, 2020 | | 2020 |
Amir Barati FarimaniRussell V. Trader Associate Professor at Carnegie Mellon University在 stanford.edu 的电子邮件经过验证
