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