Learning PDE to Model Self-Organization of Matter

Learning PDE to Model Self-Organization of Matter

A self-organization hydrodynamic process has recently been proposed to partially explain the formation of femtosecond laser-induced nanopatterns on Nickel, which have important applications in optics, microbiology, medicine, etc. Exploring laser pattern space is difficult, however, which simultaneou...

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Bibliographic Details
Main Authors: Eduardo Brandao, Jean-Philippe Colombier, Stefan Duffner, Rémi Emonet, Florence Garrelie, Amaury Habrard, François Jacquenet, Anthony Nakhoul, Marc Sebban
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Entropy
Subjects:
machine learning
PDE solving
neural networks
deep learning
physical knowledge incorporation
self-organization process
Online Access:https://www.mdpi.com/1099-4300/24/8/1096

Internet

https://www.mdpi.com/1099-4300/24/8/1096

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