Data-driven Identification of 2D Partial Differential Equations using extracted physical features. - Kazem Meidani; Amir Barati Farimani (CoRR, 2020)

Graph Convolutional Neural Networks for Body Force Prediction. - Francis Ogoke; Kazem Meidani; Amirreza Hashemi; Amir Barati Farimani (CoRR, 2020)

Graph Neural Networks Accelerated Molecular Dynamics. - Zijie Li; Kazem Meidani; Prakarsh Yadav; Amir Barati Farimani (CoRR, 2021)

Graph convolutional networks applied to unstructured flow field data. - Francis Ogoke; Kazem Meidani; Amirreza Hashemi; Amir Barati Farimani (Mach. Learn. Sci. Technol., 2021)

VecMetaPy: A vectorized framework for metaheuristic optimization in Python. - AmirPouya Hemmasian; Kazem Meidani; Seyedali Mirjalili; Amir Barati Farimani (Adv. Eng. Softw., 2022)

MAB-OS: Multi-Armed Bandits Metaheuristic Optimizer Selection. - Kazem Meidani; Seyedali Mirjalili; Amir Barati Farimani (Appl. Soft Comput., 2022)

MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning. - Parand Akbari; Francis Ogoke; Ning-Yu Kao; Kazem Meidani; Chun-Yu Yeh; William Lee; Amir Barati Farimani (CoRR, 2022)

Online metaheuristic algorithm selection. - Kazem Meidani; Seyedali Mirjalili; Amir Barati Farimani (Expert Syst. Appl., 2022)

Adaptive grey wolf optimizer. - Kazem Meidani; AmirPouya Hemmasian; Seyedali Mirjalili; Amir Barati Farimani (Neural Comput. Appl., 2022)

Inverse Lighting with Differentiable Physically-Based Model. - Kazem Meidani; Igor Borovikov; Amir Barati Farimani; Harold Chaput (LION, 2023)

Transformer-based Planning for Symbolic Regression. - Parshin Shojaee; Kazem Meidani; Amir Barati Farimani; Chandan K. Reddy (NeurIPS, 2023)

Transformer for Partial Differential Equations' Operator Learning. - Zijie Li; Kazem Meidani; Amir Barati Farimani (Trans. Mach. Learn. Res., 2023)

Identification of parametric dynamical systems using integer programming. - Kazem Meidani; Amir Barati Farimani (Expert Syst. Appl., 2023)

SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. - Kazem Meidani; Parshin Shojaee; Chandan K. Reddy; Amir Barati Farimani (ICLR, 2024)

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. - Parshin Shojaee; Kazem Meidani; Shashank Gupta; Amir Barati Farimani; Chandan K. Reddy (ICLR, 2025)

LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models. - Parshin Shojaee; Ngoc-Hieu Nguyen; Kazem Meidani; Amir Barati Farimani; Khoa D. Doan; Chandan K. Reddy (CoRR, 2025)