Discovery of Physics From Data: Universal Laws and Discrepancies

Discovery of Physics From Data: Universal Laws and Discrepancies

Machine learning (ML) and artificial intelligence (AI) algorithms are now being used to automate the discovery of physics principles and governing equations from measurement data alone. However, positing a universal physical law from data is challenging without simultaneously proposing an accompanyi...

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Bibliographic Details
Main Authors: Brian M. de Silva, David M. Higdon, Steven L. Brunton, J. Nathan Kutz
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Artificial Intelligence
Subjects:
dynamical systems
system identification
machine learning
artificial intelligence
sparse regression
discrepancy modeling
Online Access:https://www.frontiersin.org/article/10.3389/frai.2020.00025/full

Internet

https://www.frontiersin.org/article/10.3389/frai.2020.00025/full

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