Mohammad Amin Nabian

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Hadi MeidaniUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Akshay SubramaniamNVIDIADirección de correo verificada de alumni.stanford.edu
Rini GladstonePhD Candidate, University of Illinois Urbana-ChampaignDirección de correo verificada de illinois.edu
Fang ZhiweiAmazonDirección de correo verificada de amazon.com
Negin AlemazkoorAssistant Professor, University of VirginiaDirección de correo verificada de virginia.edu
Chris ChoyNVIDIADirección de correo verificada de nvidia.com
Boyi LiNVIDIA Research, UC BerkeleyDirección de correo verificada de berkeley.edu
Zongyi LiCaltechDirección de correo verificada de caltech.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIADirección de correo verificada de caltech.edu
Jean KossaifiSenior Research Scientist at NVIDIADirección de correo verificada de nvidia.com
Kamyar AzizzadenesheliNvidiaDirección de correo verificada de nvidia.com
Nikola KovachkiCalifornia Institute of TechnologyDirección de correo verificada de caltech.edu
Maximilian StadlerTechnische Universität MünchenDirección de correo verificada de nvidia.com
Christian HundtNVIDIA AI Technology CenterDirección de correo verificada de nvidia.com
Vahid KeshavarzzadehGeneral MotorsDirección de correo verificada de gm.com
Mehdi TaghizadehPh.D. Candidate, University of VirginiaDirección de correo verificada de virginia.edu
Mehrdad ShahnamNational Energy Technology LaboratoryDirección de correo verificada de netl.doe.gov
Tarak Nath NandiAssistant Computational Scientist, Argonne National LaboratoryDirección de correo verificada de anl.gov
Bharatkumar SharmaProgram Tech Management, NvidiaDirección de correo verificada de nvidia.com
Alankar AlankarProfessor, Department of Mechanical Engineering, Indian Institute of Technology BombayDirección de correo verificada de iitb.ac.in

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Mohammad Amin Nabian

Senior Software Engineer, AI-HPC, NVIDIA

Dirección de correo verificada de nvidia.com - Página principal

SciML High-Performance Computing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	321	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	275	2021
A deep learning solution approach for high-dimensional random differential equations MA Nabian, H Meidani Probabilistic Engineering Mechanics 57, 14-25, 2019	170*	2019
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	169	2018
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	114*	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, 35836-35854, 2023	103*	2023
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	56	2019
Multiphase mesh-free particle method for simulating granular flows and sediment transport MA Nabian, L Farhadi Journal of Hydraulic Engineering 143 (4), 04016102, 2017	49	2017
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	21	2022
FO-PINN: A First-Order formulation for Physics-Informed Neural Networks RJ Gladstone, MA Nabian, N Sukumar, A Srivastava, H Meidani Engineering Analysis with Boundary Elements 174, 106161, 2025	15	2025
Robust topology optimization using variational autoencoders RJ Gladstone, MA Nabian, V Keshavarzzadeh, H Meidani arXiv preprint arXiv:2107.10661, 2021	13	2021
Adaptive physics-informed neural networks for Markov-Chain Monte Carlo MA Nabian, H Meidani arXiv preprint arXiv:2008.01604, 2020	9	2020
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	9	2018
Residual corrective diffusion modeling for km-scale atmospheric downscaling M Mardani, N Brenowitz, Y Cohen, J Pathak, CY Chen, CC Liu, A Vahdat, ... Communications Earth & Environment 6 (1), 124, 2025	8	2025
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	8	2024
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	8	2017
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	6	2024
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	6	2021
MR-WC-MPS: A multi-resolution WC-MPS method for simulation of free-surface flows MA Nabian, L Farhadi Water 11 (7), 1349, 2019	6	2019
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	4	2022

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