Extracting the properties of constituent phases from the overall response of composites: A deep neural network method-Reference-Cited by-同舟云学术

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Extracting the properties of constituent phases from the overall response of composites: A deep neural network method

Published:2022-08 Issue: Volume:293 Page:115707
ISSN:0263-8223
Container-title:Composite Structures
language:en
Short-container-title:Composite Structures

Author:

Ye Sang,Li Min,Zhang Kaixuan,Zhao Hong-Ping,Feng Xi-Qiao

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Civil and Structural Engineering,Ceramics and Composites

Reference76 articles.

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2. Plant surfaces: Structures and functions for biomimetic innovations;Barthlott;Nano-Micro Lett,2017

3. Biomechanics: Mechanical properties of living tissues;Fung,1981

4. Biochemomechanical poroelastic theory of avascular tumor growth;Xue;J Mech Phys Solids,2016

5. Biochemomechanical modeling of vascular collapse in growing tumors;Xue;J Mech Phys Solids,2018

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1. Prediction of Composite Mechanical Properties: Integration of Deep Neural Network Methods and Finite Element Analysis;Journal of Composites Science;2023-02-03

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