Mohammad Amin Nabian

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Top Venues

J. Comput. Inf. Sci. Eng.

Comput. Aided Civ. Infrastructure Eng.

Publications

Rachel Chen, Juheon Lee, Chuang Gan, Zijiang Yang, Mohammad Amin Nabian, Jun Zeng
Virtual Foundry Graphnet for Metal Sintering Deformation Prediction. CoRR (2024)
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)
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 (2023)
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)
Rini Jasmine Gladstone, Mohammad Amin Nabian, Hadi Meidani
FO-PINNs: A First-Order formulation for Physics Informed Neural Networks. CoRR (2022)
Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani
Efficient training of physics-informed neural networks via importance sampling. CoRR (2021)
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) (2021)
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)
Rini Jasmine Gladstone, Mohammad Amin Nabian, Vahid Keshavarzzadeh, Hadi Meidani
Robust Topology Optimization Using Variational Autoencoders. CoRR (2021)
Mohammad Amin Nabian, Hadi Meidani
Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo. CoRR (2020)
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)
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 (2020)
Mohammad Amin Nabian, Hadi Meidani
A Deep Neural Network Surrogate for High-Dimensional Random Partial Differential Equations. CoRR (2018)
Mohammad Amin Nabian, Hadi Meidani
Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks. Comput. Aided Civ. Infrastructure Eng. 33 (6) (2018)
Mohammad Amin Nabian, Hadi Meidani
Physics-Informed Regularization of Deep Neural Networks. CoRR (2018)
Mohammad Amin Nabian, Hadi Meidani
Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks. CoRR (2017)