A physics-informed neural network for Kresling origami structures-Reference-Cited by-同舟云学术

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A physics-informed neural network for Kresling origami structures

Published:2024-05 Issue: Volume:269 Page:109080
ISSN:0020-7403
Container-title:International Journal of Mechanical Sciences
language:en
Short-container-title:International Journal of Mechanical Sciences

Author:

Liu Chen-Xu,Wang Xinghao,Liu Weiming,Yang Yi-Fan,Yu Gui-Lan,Liu Zhanli

Funder

National Natural Science Foundation of China

National Postdoctoral Program for Innovative Talents

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference82 articles.

1. Atomically precise, custom-design origami graphene nanostructures;Chen;Science,2019

2. Intrinsic non-flat-foldability of two-tile DDC surfaces composed of glide-reflected irregular quadrilaterals;Sareh;Int J Mech Sci,2020

3. An overview of the mechanical description of origami-inspired systems and structures;Fonseca;Int J Mech Sci,2022

4. Multistable inflatable origami structures at the metre scale;Melancon;Nature,2021

5. Vibration control based metamaterials and origami structures: a state-of-the-art review;Ji;Mech Syst Signal Process,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy absorption performance of Kresling origami tubes under impact loading;International Journal of Mechanical Sciences;2024-11

2. Kinematotropic linkage-based cellular metamaterials with bifurcation motion: Construction and analysis;International Journal of Mechanical Sciences;2024-10

3. A physics-informed neural network framework to investigate nonlinear and heterogenous shrinkage of drying plant cells;International Journal of Mechanical Sciences;2024-08

4. Quantification of gradient energy coefficients using physics-informed neural networks;International Journal of Mechanical Sciences;2024-07

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