A neural network constitutive model for hyperelasticity based on molecular dynamics simulations-Reference-Cited by-同舟云学术

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A neural network constitutive model for hyperelasticity based on molecular dynamics simulations

Published:2020-10-19 Issue:1 Volume:122 Page:5-24
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int J Numer Methods Eng

Author:

Chung Ingyun¹^ORCID,Im Sunyoung¹,Cho Maenghyo¹^ORCID

Affiliation:

1. Department of Mechanical Engineering Seoul National University Seoul South Korea

Funder

Ministry of Trade, Industry and Energy

National Research Foundation

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.6459

Reference45 articles.

1. Differential constitutive equations for polymer melts: The extended Pom–Pom model

2. Simple constitutive equation for linear polymer melts derived from molecular theory: Rolie–Poly equation

3. A simple constitutive equation for polymer fluids based on the concept of deformation-dependent tensorial mobility

4. Molecular dynamics simulation based size and rate dependent constitutive model of polystyrene thin films

5. A Theory of Large Elastic Deformation

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