Enhanced physics‐informed neural networks for hyperelasticity-Reference-Cited by-同舟云学术

Enhanced physics‐informed neural networks for hyperelasticity

Published:2022-11-29 Issue:7 Volume:124 Page:1585-1601
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Numerical Meth Engineering

Author:

Abueidda Diab W.¹^ORCID,Koric Seid¹,Guleryuz Erman¹,Sobh Nahil A.²

Affiliation:

1. National Center for Supercomputing Applications, Department of Mechanical Science and Engineering University of Illinois at Urbana‐Champaign Champaign Illinois USA

2. Center for Artificial Intelligence Innovation, National Center for Supercomputing Applications University of Illinois at Urbana‐Champaign Champaign Illinois USA

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.7176

Reference46 articles.

1. Isogeometric Analysis: Mathematical and Implementational Aspects, with Applications

2. Deep learning framework for material design space exploration using active transfer learning and data augmentation

3. ShahaneS GuleryuzE AbueiddaDW et al.Surrogate neural network model for sensitivity analysis and uncertainty quantification of the mechanical behavior in the optical lens‐barrel assembly. arXiv preprint arXiv:2201.09659 2022.

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