Mohammad Amin Nabian
- : Multifidelity graph neural networks for efficient and accurate mesh‐based partial differential equations surrogate modeling. Dans: Computer-Aided Civil and Infrastructure Engineering.
- (2021): Efficient training of physics‐informed neural networks via importance sampling. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 8 (8 juillet 2021).
- (2018): Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 6 (mai 2018).
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