Mohammadmehdi Ataei

According to our database, Mohammadmehdi Ataei authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

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

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

Deep Generative Model for Mechanical System Configuration Design.

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

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