Learning Markovian Homogenized Models in Viscoelasticity-Reference-Cited by-同舟云学术

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Learning Markovian Homogenized Models in Viscoelasticity

Published:2023-05-19 Issue:2 Volume:21 Page:641-679
ISSN:1540-3459
Container-title:Multiscale Modeling & Simulation
language:en
Short-container-title:Multiscale Model. Simul.

Author:

Bhattacharya Kaushik¹,Liu Burigede²,Stuart Andrew³,Trautner Margaret³^ORCID

Affiliation:

1. Mechanical and Civil Engineering, California Institute of Technology, Pasadena, CA 91125 USA.

2. Department of Engineering, University of Cambridge, Cambridge, UK.

3. Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA 91125 USA.

Funder

Army Research Laboratory

U.S. Department of Energy

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Computer Science Applications,General Physics and Astronomy,Ecological Modeling,Modeling and Simulation,General Chemistry

Reference40 articles.

1. Homogenization and Two-Scale Convergence

2. A mechanics‐informed artificial neural network approach in data‐driven constitutive modeling

3. Model Reduction And Neural Networks For Parametric PDEs

4. Overall response of viscoelastic composites and polycrystals: exact asymptotic relations and approximate estimates

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