Investigating the use of physics informed neural networks for dam-break scenarios

Open Access

Peer-reviewed

Research Article

About the Authors

Kinza Mumtaz

Roles Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Mathematics, LUMS University, Lahore, Pakistan

Muhammad Waasif Nadeem

Roles Formal analysis, Validation

Affiliation RPTU Kaiserslautern, Erwin-Schrödinger-Straße, Kaiserslautern, Germany

Adnan Khan

Roles Supervision

Affiliation Department of Mathematics, LUMS University, Lahore, Pakistan

Zahra Lakdawala

Roles Conceptualization, Writing – review & editing

Affiliation Fraunhofer Institute for Wind Energy Systems, Küpkersweg, Oldenburg, Germany

The authors have declared that no competing interests exist.

Neural networks
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Shallow water
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Flooding
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Machine learning
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Partial differential equations
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Behavior
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Simulation and modeling
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Optimization
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