A Surrogate Model for Shallow Water Equations Solvers with Deep Learning-Reference-Cited by-同舟云学术

A Surrogate Model for Shallow Water Equations Solvers with Deep Learning

Published:2023-11 Issue:11 Volume:149 Page:
ISSN:0733-9429
Container-title:Journal of Hydraulic Engineering
language:en
Short-container-title:J. Hydraul. Eng.

Author:

Song Yalan¹,Shen Chaopeng²,Liu Xiaofeng³^ORCID

Affiliation:

1. Research Assistant Professor, Dept. of Civil and Environmental Engineering, Pennsylvania State Univ., State College, PA 16802.

2. Associate Professor, Dept. of Civil and Environmental Engineering, Pennsylvania State Univ., State College, PA 16802.

3. Associate Professor, Dept. of Civil and Environmental Engineering, Institute of Computational and Data Sciences, Pennsylvania State Univ., 223B Sackett, State College, PA 16802 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Water Science and Technology,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JHEND8.HYENG-13190

Reference51 articles.

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2. A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations

3. Numerical Evaluation of AASHTO Drag Force Coefficients of Water Flow Around Bridge Piers

4. Design optimization using hyper-reduced-order models

5. Prediction of aerodynamic flow fields using convolutional neural networks

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