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ORCIDMohammad Amin Nabian
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2020 – today
- 2025
[j6]Mehdi Taghizadeh, Mohammad Amin Nabian, Negin Alemazkoor:
Multifidelity graph neural networks for efficient and accurate mesh-based partial differential equations surrogate modeling. Comput. Aided Civ. Infrastructure Eng. 40(7): 841-858 (2025)- [j5]Mehdi Taghizadeh, Zanko Zandsalimi, Mohammad Amin Nabian, Majid Shafiee-Jood, Negin Alemazkoor:
Interpretable physics-informed graph neural networks for flood forecasting. Comput. Aided Civ. Infrastructure Eng. 40(18): 2629-2649 (2025) - [i16]Rishikesh Ranade, Mohammad Amin Nabian, Kaustubh Tangsali, Alexey Kamenev, Oliver Hennigh, Ram Cherukuri, Sanjay Choudhry:
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations. CoRR abs/2501.13350 (2025) - [i15]Kaustubh Tangsali, Rishikesh Ranade, Mohammad Amin Nabian, Alexey Kamenev, Peter Sharpe, Neil Ashton, Ram Cherukuri, Sanjay Choudhry:
A Benchmarking Framework for AI models in Automotive Aerodynamics. CoRR abs/2507.10747 (2025) - [i14]Mohammad Amin Nabian, Sanjay Choudhry:
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics. CoRR abs/2508.21249 (2025) - [i13]Dibyajyoti Chakraborty, Romit Maulik, Peter Harrington, Dallas Foster, Mohammad Amin Nabian, Sanjay Choudhry:
MoWE : A Mixture of Weather Experts. CoRR abs/2509.09052 (2025) - [i12]Mohammad Amin Nabian, Sudeep Chavare, Deepak Akhare, Rishikesh Ranade, Ram Cherukuri, Srinivas Tadepalli:
Automotive Crash Dynamics Modeling Accelerated with Machine Learning. CoRR abs/2510.15201 (2025) - 2024
- [j4]Mehdi Taghizadeh
, Mohammad Amin Nabian, Negin Alemazkoor:
Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations. J. Comput. Inf. Sci. Eng. 24(11) (2024) - [i11]Rachel Chen, Juheon Lee, Chuang Gan, Zijiang Yang, Mohammad Amin Nabian, Jun Zeng:
Virtual Foundry Graphnet for Metal Sintering Deformation Prediction. CoRR abs/2404.11753 (2024) - [i10]Mohammad Amin Nabian:
X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation. CoRR abs/2411.17164 (2024) - 2023
- [c2]Zongyi Li, Nikola B. Kovachki, Christopher B. Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Animashree Anandkumar:
Geometry-Informed Neural Operator for Large-Scale 3D PDEs. NeurIPS 2023 - [i9]Zongyi Li, Nikola Borislavov Kovachki, Christopher B. Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Anima Anandkumar:
Geometry-Informed Neural Operator for Large-Scale 3D PDEs. CoRR abs/2309.00583 (2023) - 2022
- [i8]Rini Jasmine Gladstone, Mohammad Amin Nabian, Hadi Meidani:
FO-PINNs: A First-Order formulation for Physics Informed Neural Networks. CoRR abs/2210.14320 (2022) - 2021
- [j3]Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani:
Efficient training of physics-informed neural networks via importance sampling. Comput. Aided Civ. Infrastructure Eng. 36(8): 962-977 (2021) - [c1]Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Zhiwei Fang, Max Rietmann, Wonmin Byeon, Sanjay Choudhry:
NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework. ICCS (5) 2021: 447-461 - [i7]Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani:
Efficient training of physics-informed neural networks via importance sampling. CoRR abs/2104.12325 (2021) - [i6]Rini Jasmine Gladstone, Mohammad Amin Nabian, Vahid Keshavarzzadeh, Hadi Meidani:
Robust Topology Optimization Using Variational Autoencoders. CoRR abs/2107.10661 (2021) - 2020
- [j2]Mohammad Amin Nabian, Hadi Meidani:
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis. J. Comput. Inf. Sci. Eng. 20(1) (2020) - [i5]Mohammad Amin Nabian, Hadi Meidani:
Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo. CoRR abs/2008.01604 (2020) - [i4]Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, José del Águila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry:
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework. CoRR abs/2012.07938 (2020)
2010 – 2019
- 2018
- [j1]Mohammad Amin Nabian, Hadi Meidani:
Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks. Comput. Aided Civ. Infrastructure Eng. 33(6): 443-458 (2018) - [i3]Mohammad Amin Nabian, Hadi Meidani:
A Deep Neural Network Surrogate for High-Dimensional Random Partial Differential Equations. CoRR abs/1806.02957 (2018) - [i2]Mohammad Amin Nabian, Hadi Meidani:
Physics-Informed Regularization of Deep Neural Networks. CoRR abs/1810.05547 (2018) - 2017
- [i1]Mohammad Amin Nabian, Hadi Meidani:
Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks. CoRR abs/1708.08551 (2017)
Coauthor Index
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