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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
225*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
1452021
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
1432018
A deep learning solution approach for high-dimensional random differential equations
MA Nabian, H Meidani
Probabilistic Engineering Mechanics 57, 14-25, 2019
134*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
85*2020
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
452019
Multiphase mesh-free particle method for simulating granular flows and sediment transport
MA Nabian, L Farhadi
Journal of Hydraulic Engineering 143 (4), 04016102, 2017
422017
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
122024
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
102022
Robust topology optimization using variational autoencoders
RJ Gladstone, MA Nabian, V Keshavarzzadeh, H Meidani
arXiv preprint arXiv:2107.10661, 2021
92021
FO-PINNs: A First-Order formulation for Physics Informed Neural Networks
RJ Gladstone, MA Nabian, H Meidani
arXiv preprint arXiv:2210.14320, 2022
82022
Adaptive physics-informed neural networks for Markov-Chain Monte Carlo
MA Nabian, H Meidani
arXiv preprint arXiv:2008.01604, 2020
82020
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
82017
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
72018
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
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
Developing Digital Twins for Energy Applications Using Modulus
T Nandi, O Hennigh, M Nabian, Y Liu, M Woo, T Jordan, M Shahnam, ...
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2022
22022
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
22021
An end-to-end AI-driven simulation framework
O Hennigh, S Narasimhan, MA Nabian, A Subramaniam, K Tangsali, ...
Workshop: Machine Learning and the Physical Sciences, the 34th Conference on …, 2020
22020
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