<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Wanyi Wang</style></author><author><style face="normal" font="default" size="100%">Liu, Yuxuan</style></author><author><style face="normal" font="default" size="100%">Mengkun Ding</style></author><author><style face="normal" font="default" size="100%">Xia, Tian</style></author><author><style face="normal" font="default" size="100%">Qibei Gong</style></author><author><style face="normal" font="default" size="100%">Zeng, Xiangwen</style></author><author><style face="normal" font="default" size="100%">Zhigang Cai</style></author><author><style face="normal" font="default" size="100%">Hu, Youfan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">From network to channel: Crack-based strain sensors with high sensitivity, stretchability, and linearity via strain engineering</style></title><secondary-title><style face="normal" font="default" size="100%">Nano Energy</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Crack propagation</style></keyword><keyword><style  face="normal" font="default" size="100%">Strain concentration</style></keyword><keyword><style  face="normal" font="default" size="100%">strain engineering</style></keyword><keyword><style  face="normal" font="default" size="100%">Stretchable strain sensor</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/pii/S2211285523006699</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">116</style></volume><pages><style face="normal" font="default" size="100%">108832</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">High-performance stretchable strain sensors are highly desirable for various scenarios, such as health monitoring and human-robot interfaces. Here, we propose a universal strain engineering strategy that introduces an inhomogeneous spatial distribution of stress and promotes crack propagation behavior leading to a critical state between network and channel morphologies, achieving stretchable strain sensors with high sensitivity, a wide working range and good linearity. Approaches for introducing soft-rigid interfaces, enlarging elastic modulus mismatches and matching dimensions have been employed to execute the strategy for network-crack strain sensors with collapsed nanocone cluster structures as representatives. The strain sensors can be tuned to realize a gauge factor of 690.95 in a linear working range of 0–40% (R2 = 0.993) or a gauge factor of 113.70 in a larger linear working range of 0–120% (R2 = 0.999). Intraocular pressure monitoring and dynamic facial asymmetry assessment have been demonstrated based on these sensors to show their great application potential.</style></abstract></record></records></xml>