Identification of settling velocity with physics informed neural networks for sediment laden flows

DOI10.1016/J.CMA.2024.117389MaRDI QIDQ6643554

Yoann Cheny, Sébastien Kiesgen de Richter, Jean-Baptiste Keck, Adrien Gans, Mickaël Delcey

Publication date: 26 November 2024

Published in: (Search for Journal in Brave)

zbMATH Keywords

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Mathematics Subject Classification ID

Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) (74F10) Finite difference methods applied to problems in fluid mechanics (76M20) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Granular flows (76T25)

Cites Work

• Non-invasive inference of thrombus material properties with physics-informed neural networks
• Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
• Large-Scale Machine Learning with Stochastic Gradient Descent
• Title not available (Why is that?)

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