Mohammad Amin Nabian

24 papers A* 1Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Benchmarking Framework for AI models in Automotive Aerodynamics. CoRR Kaustubh Tangsali, Rishikesh Ranade, Mohammad Amin Nabian, Alexey Kamenev, Peter Sharpe, Neil Ashton, Ram Cherukuri, Sanjay Choudhry
2025	J	`jnl`	A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics. CoRR Mohammad Amin Nabian, Sanjay Choudhry
2025	J	`jnl`	Automotive Crash Dynamics Modeling Accelerated with Machine Learning. CoRR Mohammad Amin Nabian, Sudeep Chavare, Deepak Akhare, Rishikesh Ranade, Ram Cherukuri, Srinivas Tadepalli
2025	J	`jnl`	DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations. CoRR Rishikesh Ranade, Mohammad Amin Nabian, Kaustubh Tangsali, Alexey Kamenev, Oliver Hennigh, Ram Cherukuri, Sanjay Choudhry
2025	J	`jnl`	Interpretable physics-informed graph neural networks for flood forecasting. Comput. Aided Civ. Infrastructure Eng. Mehdi Taghizadeh, Zanko Zandsalimi, Mohammad Amin Nabian, Majid Shafiee-Jood, Negin Alemazkoor
2025	J	`jnl`	MoWE : A Mixture of Weather Experts. CoRR Dibyajyoti Chakraborty, Romit Maulik, Peter Harrington, Dallas Foster, Mohammad Amin Nabian, Sanjay Choudhry
2025	J	`jnl`	Multifidelity graph neural networks for efficient and accurate mesh-based partial differential equations surrogate modeling. Comput. Aided Civ. Infrastructure Eng. Mehdi Taghizadeh, Mohammad Amin Nabian, Negin Alemazkoor
2024	J	`jnl`	Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations. J. Comput. Inf. Sci. Eng. Mehdi Taghizadeh, Mohammad Amin Nabian, Negin Alemazkoor
2024	J	`jnl`	Virtual Foundry Graphnet for Metal Sintering Deformation Prediction. CoRR Rachel Chen, Juheon Lee, Chuang Gan, Zijiang Yang, Mohammad Amin Nabian, Jun Zeng
2024	J	`jnl`	X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation. CoRR Mohammad Amin Nabian
2023	A*	`conf`	Geometry-Informed Neural Operator for Large-Scale 3D PDEs. NeurIPS 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
2023	J	`jnl`	Geometry-Informed Neural Operator for Large-Scale 3D PDEs. CoRR 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
2022	J	`jnl`	FO-PINNs: A First-Order formulation for Physics Informed Neural Networks. CoRR Rini Jasmine Gladstone, Mohammad Amin Nabian, Hadi Meidani
2021	J	`jnl`	Efficient training of physics-informed neural networks via importance sampling. Comput. Aided Civ. Infrastructure Eng. Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani
2021	J	`jnl`	Efficient training of physics-informed neural networks via importance sampling. CoRR Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani
2021	—	`conf`	NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework. ICCS (5) Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Zhiwei Fang, Max Rietmann, Wonmin Byeon, Sanjay Choudhry
2021	J	`jnl`	Robust Topology Optimization Using Variational Autoencoders. CoRR Rini Jasmine Gladstone, Mohammad Amin Nabian, Vahid Keshavarzzadeh, Hadi Meidani
2020	J	`jnl`	Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo. CoRR Mohammad Amin Nabian, Hadi Meidani
2020	J	`jnl`	NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework. CoRR Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, José del Águila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry
2020	J	`jnl`	Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis. J. Comput. Inf. Sci. Eng. Mohammad Amin Nabian, Hadi Meidani
2018	J	`jnl`	A Deep Neural Network Surrogate for High-Dimensional Random Partial Differential Equations. CoRR Mohammad Amin Nabian, Hadi Meidani
2018	J	`jnl`	Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks. Comput. Aided Civ. Infrastructure Eng. Mohammad Amin Nabian, Hadi Meidani
2018	J	`jnl`	Physics-Informed Regularization of Deep Neural Networks. CoRR Mohammad Amin Nabian, Hadi Meidani
2017	J	`jnl`	Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks. CoRR Mohammad Amin Nabian, Hadi Meidani