@article {WANG2023108832,
	title = {From network to channel: Crack-based strain sensors with high sensitivity, stretchability, and linearity via strain engineering},
	journal = {Nano Energy},
	volume = {116},
	year = {2023},
	pages = {108832},
	abstract = {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{\textendash}40\% (R2 = 0.993) or a gauge factor of 113.70 in a larger linear working range of 0{\textendash}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.},
	keywords = {Crack propagation, Strain concentration, strain engineering, Stretchable strain sensor},
	issn = {2211-2855},
	doi = {https://doi.org/10.1016/j.nanoen.2023.108832},
	url = {https://www.sciencedirect.com/science/article/pii/S2211285523006699},
	author = {Wanyi Wang and Liu, Yuxuan and Mengkun Ding and Xia, Tian and Qibei Gong and Zeng, Xiangwen and Zhigang Cai and Hu, Youfan}
}
