NPLIC: A Machine Learning Approach to Piecewise Linear Interface Construction. - Mohammadmehdi Ataei; Markus Bussmann; Vahid Shaayegan; Franco Costa; Sejin Han; Chul B. Park (CoRR, 2020)

A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC). - Mohammadmehdi Ataei; Erfan Pirmorad; Franco Costa; Sejin Han; Chul B. Park; Markus Bussmann (AAAI Spring Symposium: MLPS, 2021)

LBfoam: An open-source software package for the simulation of foaming using the Lattice Boltzmann Method. - Mohammadmehdi Ataei; Vahid Shaayegan; Franco Costa; Sejin Han; Chul B. Park; Markus Bussmann (Comput. Phys. Commun., 2021)

XLB: Distributed Multi-GPU Lattice Boltzmann Simulation Framework for Differentiable Scientific Machine Learning. - Mohammadmehdi Ataei; Hesam Salehipour (CoRR, 2023)

Reduced-order modeling of unsteady fluid flow using neural network ensembles. - Rakesh Halder; Mohammadmehdi Ataei; Hesam Salehipour; Krzysztof Fidkowski; Kevin Maki (CoRR, 2024)

Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation. - Mohammadmehdi Ataei; Hyunmin Cheong; Daniele Grandi; Ye Wang; Nigel Morris; Alexander Tessier (CoRR, 2024)

Synthetic Vision: Training Vision-Language Models to Understand Physics. - Vahid Balazadeh Meresht; Mohammadmehdi Ataei; Hyunmin Cheong; Amir Hosein Khasahmadi; Rahul G. Krishnan (CoRR, 2024)

XLB: A differentiable massively parallel lattice Boltzmann library in Python. - Mohammadmehdi Ataei; Hesam Salehipour (Comput. Phys. Commun., 2024)

Deep Generative Model for Mechanical System Configuration Design. - Yasaman Etesam; Hyunmin Cheong; Mohammadmehdi Ataei; Pradeep Kumar Jayaraman (AAAI, 2025)

Elicitron: A Large Language Model Agent-Based Simulation Framework for Design Requirements Elicitation. - Mohammadmehdi Ataei; Hyunmin Cheong; Daniele Grandi; Ye Wang; Nigel Morris; Alexander Tessier (J. Comput. Inf. Sci. Eng., 2025)

DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Do cumentation. - Anna C. Doris; Daniele Grandi; Ryan Tomich; Md Ferdous Alam; Mohammadmehdi Ataei; Hyunmin Cheong; Faez Ahmed (J. Comput. Inf. Sci. Eng., 2025)

mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks. - Mohammadmehdi Ataei; Hyunmin Cheong; Adrian Butscher (CoRR, 2025)

e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration. - Hyunmin Cheong; Mohammadmehdi Ataei; Amir Hosein Khasahmadi; Pradeep Kumar Jayaraman (CoRR, 2025)

RECALL-MM: A Multimodal Dataset of Consumer Product Recalls for Risk Analysis using Computational Methods and Large Language Models. - Diana Bolanos; Mohammadmehdi Ataei; Daniele Grandi; Kosa Goucher-Lambert (CoRR, 2025)

Transformer-Based Interfaces for Mechanical Assembly Design: A Gear Train Case Study. - Mohammadmehdi Ataei; Hyunmin Cheong; Jiwon Jun; Justin Matejka; Alexander Tessier; George W. Fitzmaurice (CoRR, 2025)

MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation. - Diana Bolanos; Mohammadmehdi Ataei; Pradeep Kumar Jayaraman (CoRR, 2025)