Mohammadmehdi Ataei

According to our database, Mohammadmehdi Ataei authored at least 18 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Data.

Mohammadmehdi Ataei, Farzaneh Askari, Kamal Rahimi Malekshan, Pradeep Kumar Jayaraman

CoRR, April, 2026

MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation.

Diana Bolanos, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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, April, 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, March, 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, February, 2025

mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks.

Mohammadmehdi Ataei, Hyunmin Cheong, Adrian Butscher

CoRR, February, 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

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

Physics Context Builders: A Modular Framework for Physical Reasoning in Vision-Language Models.

Vahid Balazadeh, Mohammadmehdi Ataei, Hyunmin Cheong, Amir Hosein Khasahmadi, Rahul G. Krishnan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Deep Generative Model for Mechanical System Configuration Design.

Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

XLB: A differentiable massively parallel lattice Boltzmann library in Python.

Mohammadmehdi Ataei, Hesam Salehipour

Comput. Phys. Commun., 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

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

Reduced-order modeling of unsteady fluid flow using neural network ensembles.

Rakesh Halder, Mohammadmehdi Ataei, Hesam Salehipour, Krzysztof Fidkowski, Kevin Maki

CoRR, 2024

2023

XLB: Distributed Multi-GPU Lattice Boltzmann Simulation Framework for Differentiable Scientific Machine Learning.

Mohammadmehdi Ataei, Hesam Salehipour

CoRR, 2023

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

A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC).

Mohammadmehdi Ataei, Erfan Pirmorad, Franco Costa, Sejin Han, Chul B. Park, Markus Bussmann

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

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