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Soft network composite materials with deterministic and bio-inspired designs

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:

    1. 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.

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