Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks. - Mohammad Amin Nabian; Hadi Meidani (CoRR, 2017)

Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks. - Mohammad Amin Nabian; Hadi Meidani (Comput. Aided Civ. Infrastructure Eng., 2018)

A Deep Neural Network Surrogate for High-Dimensional Random Partial Differential Equations. - Mohammad Amin Nabian; Hadi Meidani (CoRR, 2018)

Physics-Informed Regularization of Deep Neural Networks. - Mohammad Amin Nabian; Hadi Meidani (CoRR, 2018)

Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo. - Mohammad Amin Nabian; Hadi Meidani (CoRR, 2020)

NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework. - Oliver Hennigh; Susheela Narasimhan; Mohammad Amin Nabian; Akshay Subramaniam; Kaustubh Tangsali; Max Rietmann; José del Águila Ferrandis; Wonmin Byeon; Zhiwei Fang; Sanjay Choudhry (CoRR, 2020)

Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis. - Mohammad Amin Nabian; Hadi Meidani (J. Comput. Inf. Sci. Eng., 2020)

NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework. - Oliver Hennigh; Susheela Narasimhan; Mohammad Amin Nabian; Akshay Subramaniam; Kaustubh Tangsali; Zhiwei Fang; Max Rietmann; Wonmin Byeon; Sanjay Choudhry (ICCS (5), 2021)

Efficient training of physics-informed neural networks via importance sampling. - Mohammad Amin Nabian; Rini Jasmine Gladstone; Hadi Meidani (Comput. Aided Civ. Infrastructure Eng., 2021)

Robust Topology Optimization Using Variational Autoencoders. - Rini Jasmine Gladstone; Mohammad Amin Nabian; Vahid Keshavarzzadeh; Hadi Meidani (CoRR, 2021)

FO-PINNs: A First-Order formulation for Physics Informed Neural Networks. - Rini Jasmine Gladstone; Mohammad Amin Nabian; Hadi Meidani (CoRR, 2022)

Geometry-Informed Neural Operator for Large-Scale 3D PDEs. - Zongyi Li; Nikola B. Kovachki; Christopher B. Choy; Boyi Li; Jean Kossaifi; Shourya Prakash Otta; Mohammad Amin Nabian; Maximilian Stadler; Christian Hundt 002; Kamyar Azizzadenesheli; Animashree Anandkumar (NeurIPS, 2023)

Virtual Foundry Graphnet for Metal Sintering Deformation Prediction. - Rachel Chen; Juheon Lee; Chuang Gan; Zijiang Yang; Mohammad Amin Nabian; Jun Zeng (CoRR, 2024)

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation. - Mohammad Amin Nabian (CoRR, 2024)

Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations. - Mehdi Taghizadeh; Mohammad Amin Nabian; Negin Alemazkoor (J. Comput. Inf. Sci. Eng., 2024)

DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations. - Rishikesh Ranade; Mohammad Amin Nabian; Kaustubh Tangsali; Alexey Kamenev; Oliver Hennigh; Ram Cherukuri; Sanjay Choudhry (CoRR, 2025)

Multifidelity graph neural networks for efficient and accurate mesh-based partial differential equations surrogate modeling. - Mehdi Taghizadeh; Mohammad Amin Nabian; Negin Alemazkoor (Comput. Aided Civ. Infrastructure Eng., 2025)

A Benchmarking Framework for AI models in Automotive Aerodynamics. - Kaustubh Tangsali; Rishikesh Ranade; Mohammad Amin Nabian; Alexey Kamenev; Peter Sharpe; Neil Ashton; Ram Cherukuri; Sanjay Choudhry (CoRR, 2025)