Machine learning assisted wrinkling design of hierarchical thin sheets-Reference-Cited by-同舟云学术

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Machine learning assisted wrinkling design of hierarchical thin sheets

Published:2022-10 Issue: Volume:213 Page:111638
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Qiu Xinghan,Yin Yue,Zhang Jiawei,Wang Haotian,Tan Huifeng,Liu Yuanpeng,Wang Changguo

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Heilongjiang Provincial Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference32 articles.

1. Materials become insensitive to flaws at nanoscale: Lessons from nature

2. Bioinspired structural materials

3. Biological materials: Structure and mechanical properties

4. Biomimetism and bioinspiration as tools for the design of innovative materials and systems

5. Nacre-inspired design of graphene oxide–polydopamine nanocomposites for enhanced mechanical properties and multi-functionalities

Cited by 1 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. Analysis of Structural Boundary Effects of Copper-Coated Films and Their Application to Space Antennas;Coatings;2023-09-14

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