Concepedia

A PHYSICS-INFORMED NEURAL NETWORK SURROGATE MODEL FOR TIDAL SIMULATIONS

James Donnelly, Alireza Daneshkhah, Soroush Abolfathi

UNCECOMP Proceedings · 2023 · 13 citations · 22 references

Open access

Concepts

Natural SciencesEarth SciencesHydrologyComputational Fluid DynamicsFluid DynamicsMachine LearningDeep LearningFlood ForecastingFlood Inundation ModelingHydraulic ModelingHydrological ModelingTidal ModelingFlood Inundation DynamicsFlood ModelingHydrodynamic ModellingPhysics-informed ModelingPhysics-informed Optimization

Abstract

A PHYSICS-INFORMED NEURAL NETWORK SURROGATE MODEL FOR TIDAL SIMULATIONS - 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering - 12-14 June 2023, Athens, Greece

References

22

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Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

The Proceedings of the National Academy of Sciences

Jos W. Richards · Science · 1915 · 14.2K citations

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Computer Methods in Applied Mechanics and Engineering

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Engineering, Computational Engineering, Mechanical Engineering +14

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

Maziar Raissi, Alireza Yazdani, George Em Karniadakis · Science · 2020 · 2K citations · Full text

Computing, Computer Science, Physics +16

Physics-informed neural networks for high-speed flows

Zhiping Mao, Ameya D. Jagtap, George Em Karniadakis · Computer Methods in Applied Mechanics and Engineering · 2019 · 1.2K citations

Computing, Computational Engineering, Physics +14