Fractional calculus & machine learning methods based rubber stress-strain relationship prediction-Reference-Cited by-同舟云学术

Fractional calculus & machine learning methods based rubber stress-strain relationship prediction

Published:2022-06-21 Issue:10 Volume:48 Page:944-954
ISSN:0892-7022
Container-title:Molecular Simulation
language:en
Short-container-title:Molecular Simulation

Author:

Li Dazi¹,Liu Jianxun¹,Zhang Zhiyu²,Yan Mingjie¹,Dong Yining³,Liu Jun²

Affiliation:

1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, People’s Republic of China

2. Key Laboratory of Beijing City on Preparation and Processing of Novel Polymer Materials, Beijing University of Chemical Technology, Beijing, People’s Republic of China

3. School of Data Science and Hong Kong Institute for Data Science, Centre for Systems Informatics Engineering, City University of Hong Kong, Kowloon, Hong Kong

Funder

National Natural Science Foundation of China

Fok Ying-Tong Education Foundation of China

Chow Sang Sang Group Research Fund

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,General Materials Science,General Chemical Engineering,Modeling and Simulation,Information Systems,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/08927022.2022.2082420

Reference33 articles.

1. Constitutive Models of Rubber Elasticity: A Review

2. LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

3. Fast Parallel Algorithms for Short-Range Molecular Dynamics

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