Inverse Design of Inflatable Soft Membranes Through Machine Learning-Reference-Cited by-同舟云学术

Inverse Design of Inflatable Soft Membranes Through Machine Learning

Published:2022-01-10 Issue:16 Volume:32 Page:2111610
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv Funct Materials

Author:

Forte Antonio Elia¹²³,Hanakata Paul Z.⁴,Jin Lishuai¹,Zari Emilia¹²,Zareei Ahmad¹,Fernandes Matheus C.¹,Sumner Laura⁵,Alvarez Jonathan¹,Bertoldi Katia¹^ORCID

Affiliation:

1. J.A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge MA 02138 USA

2. Department of Electronics Information and Bioengineering Politecnico di Milano Milan 20133 Italy

3. Department of Engineering King's College London London WC2R 2LS UK

4. Department of Physics Harvard University Cambridge MA 02138 USA

5. Independent researcher

Funder

National Science Foundation

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.202111610

Reference62 articles.

1. From flat sheets to curved geometries: Origami and kirigami approaches

2. Programming shape using kirigami tessellations

3. Bio-inspired pneumatic shape-morphing elastomers

4. Shape-shifting structured lattices via multimaterial 4D printing

5. Tunable infrared transmission for energy-efficient pneumatic building façades

Cited by 33 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. Complex Deformation in Soft Cylindrical Structures via Programmable Sequential Instabilities;Advanced Materials;2024-09-06

2. Tuning negative stiffness mechanical metamaterial's snap-through behavior with a series-connected spring;European Journal of Mechanics - A/Solids;2024-09

3. Machine learning-enabled forward prediction and inverse design of 4D-printed active plates;Nature Communications;2024-06-29

4. Tailoring Stress–Strain Curves of Flexible Snapping Mechanical Metamaterial for On‐Demand Mechanical Responses via Data‐Driven Inverse Design;Advanced Materials;2024-06-28

5. Deep Learning Accelerated Design of Bézier Curve-Based Cellular Metamaterials with Target Properties;International Journal of Applied Mechanics;2024-05-30