Mohammadmehdi Ataei

19 papers A* 2Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation. AAAI Diana Bolanos, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
2025	A*	`conf`	Deep Generative Model for Mechanical System Configuration Design. AAAI Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
2025	J	`jnl`	DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Do cumentation. J. Comput. Inf. Sci. Eng. Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Mohammadmehdi Ataei, Hyunmin Cheong, Faez Ahmed
2025	J	`jnl`	Elicitron: A Large Language Model Agent-Based Simulation Framework for Design Requirements Elicitation. J. Comput. Inf. Sci. Eng. Mohammadmehdi Ataei, Hyunmin Cheong, Daniele Grandi, Ye Wang, Nigel Morris, Alexander Tessier
2025	J	`jnl`	MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation. CoRR Diana Bolanos, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
2025	J	`jnl`	RECALL-MM: A Multimodal Dataset of Consumer Product Recalls for Risk Analysis using Computational Methods and Large Language Models. CoRR Diana Bolanos, Mohammadmehdi Ataei, Daniele Grandi, Kosa Goucher-Lambert
2025	J	`jnl`	Transformer-Based Interfaces for Mechanical Assembly Design: A Gear Train Case Study. CoRR Mohammadmehdi Ataei, Hyunmin Cheong, Jiwon Jun, Justin Matejka, Alexander Tessier, George W. Fitzmaurice
2025	J	`jnl`	e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration. CoRR Hyunmin Cheong, Mohammadmehdi Ataei, Amir Hosein Khasahmadi, Pradeep Kumar Jayaraman
2025	J	`jnl`	mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks. CoRR Mohammadmehdi Ataei, Hyunmin Cheong, Adrian Butscher
2024	J	`jnl`	Deep Generative Model for Mechanical System Configuration Design. CoRR Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
2024	J	`jnl`	Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation. CoRR Mohammadmehdi Ataei, Hyunmin Cheong, Daniele Grandi, Ye Wang, Nigel Morris, Alexander Tessier
2024	J	`jnl`	Reduced-order modeling of unsteady fluid flow using neural network ensembles. CoRR Rakesh Halder, Mohammadmehdi Ataei, Hesam Salehipour, Krzysztof Fidkowski, Kevin Maki
2024	J	`jnl`	Synthetic Vision: Training Vision-Language Models to Understand Physics. CoRR Vahid Balazadeh Meresht, Mohammadmehdi Ataei, Hyunmin Cheong, Amir Hosein Khasahmadi, Rahul G. Krishnan
2024	J	`jnl`	XLB: A differentiable massively parallel lattice Boltzmann library in Python. Comput. Phys. Commun. Mohammadmehdi Ataei, Hesam Salehipour
2023	J	`jnl`	XLB: Distributed Multi-GPU Lattice Boltzmann Simulation Framework for Differentiable Scientific Machine Learning. CoRR Mohammadmehdi Ataei, Hesam Salehipour
2021	—	`conf`	A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC). AAAI Spring Symposium: MLPS Mohammadmehdi Ataei, Erfan Pirmorad, Franco Costa, Sejin Han, Chul B. Park, Markus Bussmann
2021	J	`jnl`	A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC). CoRR Mohammadmehdi Ataei, Erfan Pirmorad, Franco Costa, Sejin Han, Chul B. Park, Markus Bussmann
2021	J	`jnl`	LBfoam: An open-source software package for the simulation of foaming using the Lattice Boltzmann Method. Comput. Phys. Commun. Mohammadmehdi Ataei, Vahid Shaayegan, Franco Costa, Sejin Han, Chul B. Park, Markus Bussmann
2020	J	`jnl`	NPLIC: A Machine Learning Approach to Piecewise Linear Interface Construction. CoRR Mohammadmehdi Ataei, Markus Bussmann, Vahid Shaayegan, Franco Costa, Sejin Han, Chul B. Park