Author
Listed:
- Kyung-In Jang
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Ha Uk Chung
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Sheng Xu
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Chi Hwan Lee
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Haiwen Luan
(Center for Engineering and Health and Skin Disease Research Center, Northwestern University)
- Jaewoong Jeong
(Computer and Energy Engineering, University of Colorado)
- Huanyu Cheng
(Center for Engineering and Health and Skin Disease Research Center, Northwestern University)
- Gwang-Tae Kim
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Sang Youn Han
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign
Samsung Display Co. Display R&D Center)
- Jung Woo Lee
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign
Hanyang University)
- Jeonghyun Kim
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign
Hanyang University)
- Moongee Cho
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Fuxing Miao
(Center for Engineering and Health and Skin Disease Research Center, Northwestern University
Ningbo University)
- Yiyuan Yang
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Han Na Jung
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Matthew Flavin
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Howard Liu
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Gil Woo Kong
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Ki Jun Yu
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Sang Il Rhee
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Jeahoon Chung
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Byunggik Kim
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Jean Won Kwak
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
- Myoung Hee Yun
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign
School of Energy and Chemical Engineering, Ulsan National Institute Science and Technology (UNIST))
- Jin Young Kim
(School of Energy and Chemical Engineering, Ulsan National Institute Science and Technology (UNIST))
- Young Min Song
(Biomedical Research Institute, Pusan National University)
- Ungyu Paik
(Hanyang University)
- Yihui Zhang
(Center for Engineering and Health and Skin Disease Research Center, Northwestern University
Center for Mechanics and Materials, Tsinghua University)
- Yonggang Huang
(Center for Engineering and Health and Skin Disease Research Center, Northwestern University)
- John A. Rogers
(Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana-Champaign)
Abstract
Hard and soft structural composites found in biology provide inspiration for the design of advanced synthetic materials. Many examples of bio-inspired hard materials can be found in the literature; far less attention has been devoted to soft systems. Here we introduce deterministic routes to low-modulus thin film materials with stress/strain responses that can be tailored precisely to match the non-linear properties of biological tissues, with application opportunities that range from soft biomedical devices to constructs for tissue engineering. The approach combines a low-modulus matrix with an open, stretchable network as a structural reinforcement that can yield classes of composites with a wide range of desired mechanical responses, including anisotropic, spatially heterogeneous, hierarchical and self-similar designs. Demonstrative application examples in thin, skin-mounted electrophysiological sensors with mechanics precisely matched to the human epidermis and in soft, hydrogel-based vehicles for triggered drug release suggest their broad potential uses in biomedical devices.
Suggested Citation
Kyung-In Jang & Ha Uk Chung & Sheng Xu & Chi Hwan Lee & Haiwen Luan & Jaewoong Jeong & Huanyu Cheng & Gwang-Tae Kim & Sang Youn Han & Jung Woo Lee & Jeonghyun Kim & Moongee Cho & Fuxing Miao & Yiyuan , 2015.
"Soft network composite materials with deterministic and bio-inspired designs,"
Nature Communications, Nature, vol. 6(1), pages 1-11, May.
Handle:
RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7566
DOI: 10.1038/ncomms7566
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Cited by:
- Jingchao Jiang & Yi Xiong & Zhiyuan Zhang & David W. Rosen, 2022.
"Machine learning integrated design for additive manufacturing,"
Journal of Intelligent Manufacturing, Springer, vol. 33(4), pages 1073-1086, April.
- Zilong Xie & Jianan Zhu & Zhengli Dou & Yongzheng Zhang & Ke Wang & Kai Wu & Qiang Fu, 2024.
"Liquid metal interface mechanochemistry disentangles energy density and biaxial stretchability tradeoff in composite capacitor film,"
Nature Communications, Nature, vol. 15(1), pages 1-12, December.
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