Mohammad Amin Nabian

According to our database, Mohammad Amin Nabian authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations.

Mehdi Taghizadeh, Mohammad Amin Nabian, Negin Alemazkoor

J. Comput. Inf. Sci. Eng., 2024

Virtual Foundry Graphnet for Metal Sintering Deformation Prediction.

Rachel Chen, Juheon Lee, Chuang Gan, Zijiang Yang, Mohammad Amin Nabian, Jun Zeng

CoRR, 2024

2023

Geometry-Informed Neural Operator for Large-Scale 3D PDEs.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

FO-PINNs: A First-Order formulation for Physics Informed Neural Networks.

Rini Jasmine Gladstone, Mohammad Amin Nabian, Hadi Meidani

CoRR, 2022

2021

Robust Topology Optimization Using Variational Autoencoders.

Rini Jasmine Gladstone, Mohammad Amin Nabian, Vahid Keshavarzzadeh, Hadi Meidani

CoRR, 2021

Efficient training of physics-informed neural networks via importance sampling.

Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani

Comput. Aided Civ. Infrastructure Eng., 2021

NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework.

Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Zhiwei Fang, Max Rietmann, Wonmin Byeon, Sanjay Choudhry

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis.

Mohammad Amin Nabian, Hadi Meidani

J. Comput. Inf. Sci. Eng., 2020

NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework.

Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, José del Águila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry

CoRR, 2020

Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo.

Mohammad Amin Nabian, Hadi Meidani

CoRR, 2020

2018

Physics-Informed Regularization of Deep Neural Networks.

Mohammad Amin Nabian, Hadi Meidani

CoRR, 2018

A Deep Neural Network Surrogate for High-Dimensional Random Partial Differential Equations.

Mohammad Amin Nabian, Hadi Meidani

CoRR, 2018

Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks.

Mohammad Amin Nabian, Hadi Meidani

Comput. Aided Civ. Infrastructure Eng., 2018

2017

Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks.

Mohammad Amin Nabian, Hadi Meidani

CoRR, 2017