Learning Corrections for Hyperelastic Models From Data

Unveiling physical laws from data is seen as the ultimate sign of human intelligence. While there is a growing interest in this sense around the machine learning community, some recent works have attempted to simply substitute physical laws by data. We believe that getting rid of centuries of scient...

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Bibliographic Details
Main Authors: David González, Francisco Chinesta, Elías Cueto
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Materials
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fmats.2019.00014/full