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Mohammad Amin Nabian
Mohammad Amin Nabian
Senior Software Engineer, AI-HPC, NVIDIA
Verified email at nvidia.com - Homepage
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Cited by
Year
NVIDIA SimNet™: An AI-accelerated multi-physics simulation framework
O Hennigh, S Narasimhan, MA Nabian, A Subramaniam, K Tangsali, ...
International conference on computational science, 447-461, 2021
305*2021
Efficient training of physics‐informed neural networks via importance sampling
MA Nabian, RJ Gladstone, H Meidani
Computer‐Aided Civil and Infrastructure Engineering 36 (8), 962-977, 2021
2492021
Deep learning for accelerated seismic reliability analysis of transportation networks
MA Nabian, H Meidani
Computer‐Aided Civil and Infrastructure Engineering 33 (6), 443-458, 2018
1642018
A deep learning solution approach for high-dimensional random differential equations
MA Nabian, H Meidani
Probabilistic Engineering Mechanics 57, 14-25, 2019
162*2019
Physics-driven regularization of deep neural networks for enhanced engineering design and analysis
MA Nabian, H Meidani
Journal of Computing and Information Science in Engineering 20 (1), 011006, 2020
111*2020
Geometry-informed neural operator for large-scale 3d pdes
Z Li, N Kovachki, C Choy, B Li, J Kossaifi, S Otta, MA Nabian, M Stadler, ...
Advances in Neural Information Processing Systems 36, 2024
72*2024
Predicting near-term train schedule performance and delay using bi-level random forests
MA Nabian, N Alemazkoor, H Meidani
Transportation Research Record 2673 (5), 564-573, 2019
532019
Multiphase mesh-free particle method for simulating granular flows and sediment transport
MA Nabian, L Farhadi
Journal of Hydraulic Engineering 143 (4), 04016102, 2017
472017
Physics-informed machine learning and uncertainty quantification for mechanics of heterogeneous materials
B Bharadwaja, MA Nabian, B Sharma, S Choudhry, A Alankar
Integrating Materials and Manufacturing Innovation 11 (4), 607-627, 2022
222022
FO-Pinns: A first-order formulation for physics informed neural networks
RJ Gladstone, MA Nabian, N Sukumar, A Srivastava, H Meidani
arXiv preprint arXiv:2210.14320, 2022
142022
Robust topology optimization using variational autoencoders
RJ Gladstone, MA Nabian, V Keshavarzzadeh, H Meidani
arXiv preprint arXiv:2107.10661, 2021
132021
Uncertainty Quantification and PCA-Based Model Reduction for Parallel Monte Carlo Analysis of Infrastructure System Reliability
MA Nabian, H Meidani
Transportation Research Board 96th Annual Meeting, 2017
92017
Adaptive physics-informed neural networks for Markov-Chain Monte Carlo
MA Nabian, H Meidani
arXiv preprint arXiv:2008.01604, 2020
82020
Accelerating stochastic assessment of post-earthquake transportation network connectivity via machine-learning-based surrogates
MA Nabian, H Meidani
Transportation Research Board 97th Annual Meeting, 2018
82018
Multi-fidelity physics-informed generative adversarial network for solving partial differential equations
M Taghizadeh, MA Nabian, N Alemazkoor
Journal of Computing and Information Science in Engineering 24 (11), 111003, 2024
62024
MR-WC-MPS: A multi-resolution WC-MPS method for simulation of free-surface flows
MA Nabian, L Farhadi
Water 11 (7), 1349, 2019
62019
Progress Towards Solving High Reynolds Number Reacting Flows in SimNet
T Nandi, O Hennigh, M Nabian, Y Liu, M Woo, T Jordan, M Shahnam, ...
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2021
42021
Multifidelity graph neural networks for efficient and accurate mesh‐based partial differential equations surrogate modeling
M Taghizadeh, MA Nabian, N Alemazkoor
Computer‐Aided Civil and Infrastructure Engineering, 2024
32024
Stable moving particle semi implicit method for modeling waves generated by submarine landslides
MA Nabian, L Farhadi
ASME International Mechanical Engineering Congress and Exposition 46545 …, 2014
32014
Numerical simulation of solitary wave using the fully Lagrangian method of moving particle semi implicit
MA Nabian, L Farhadi
Fluids Engineering Division Summer Meeting 46247, V01DT30A006, 2014
32014
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