10.1021/acsnano.8b05019.s001 Yan Wang Yan Wang Shu Gong Shu Gong Stephen J. Wang Stephen J. Wang Xinyi Yang Xinyi Yang Yunzhi Ling Yunzhi Ling Lim Wei Yap Lim Wei Yap Dashen Dong Dashen Dong George P. Simon George P. Simon Wenlong Cheng Wenlong Cheng Standing Enokitake-like Nanowire Films for Highly Stretchable Elastronics American Chemical Society 2018 nanoparticle layer sticks enokitake-like nanowire film structures expression detection nanowire films bottom part substrate deformation Enokitake-like Nanowire Films electron transport pathway enokitake-like gold-nanowire-based films limits stretchability metal films strain V-shaped cracks U-shaped cracks Stretchable Elastronics Stretchable electronics 2018-09-18 00:00:00 Media https://acs.figshare.com/articles/media/Standing_Enokitake-like_Nanowire_Films_for_Highly_Stretchable_Elastronics/7098092 Stretchable electronics may enable electronic components to be part of our organsideal for future wearable/implantable biodiagnostic systems. One of key challenges is failure of the soft/rigid material interface due to mismatching Young’s moduli, which limits stretchability and durability of current systems. Here, we show that standing enokitake-like gold-nanowire-based films chemically bonded to an elastomer can be stretched up to 900% and are highly durable, with >93% conductivity recovery even after 2000 stretching/releasing cycles to 800% strain. Both experimental and modeling reveal that this superior elastic property originates from standing enokitake-like nanowire film structures. The closely packed nanoparticle layer sticks to the top of the nanowires, which easily cracks under strain, whereas the bottom part of the nanowires is compliant with substrate deformation. This leads to tiny V-shaped cracks with a maintained electron transport pathway rather than large U-shaped cracks that are frequently observed for conventional metal films. We further show that our standing nanowire films can serve as current collectors in supercapacitors and second skin-like smart masks for facial expression detection.