Machine learning for active matter

The availability of large datasets has boosted the application of machine learning in many fields and is now starting to shape active-matter research as well. Machine learning techniques have already been successfully applied to active-matter data—for example, deep neural networks to analyse images...

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Bibliographic Details
Published in:	Nature machine intelligence Vol. 2; no. 2; pp. 94 - 103
Main Authors:	Cichos, Frank, Gustavsson, Kristian, Mehlig, Bernhard, Volpe, Giovanni
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01.02.2020 Nature Publishing Group
Subjects:	631/114/2398 639/301 639/705 Algorithms Artificial neural networks Bacteria Behavior Biofilms Birds Complexity Computer and Information Sciences Computer Science Data- och informationsvetenskap (Datateknik) deep Energy Engineering Equilibrium Genetic code Machine learning Microorganisms Microscopy Noise Phase transitions phytoplankton Review Article Robots strategy
ISSN:	2522-5839, 2522-5839
Online Access:	Get full text
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