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Research Article | Open Access | Just Accepted

High-sensitivity omnidirectional recognition strain sensor based on two-dimensional materials

Chuanjie Fu1,2,3Chao Rong1,2,3Bowei Zhang1,2,3()Fu-Zhen Xuan1,2,3()

1 Shanghai Key Laboratory of Intelligent Sensing and Detection Technology, East China University of Science and Technology, Shanghai 200237, China

2 Key Laboratory of Pressure Systems and Safety of Ministry of Education, East China University of Science and Technology, Shanghai 200237, China

3 School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai 200237, China

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Abstract

Flexible strain sensors are essential in fields such as medicine, sports, robotics, and virtual reality but face challenges in achieving excellent sensing performance and accurate multi-directional detection simultaneously. To address this issue, we have developed a spider-web structured multi-directional flexible strain sensor using Ti₃C₂Tₓ (MXene) conductive ink and 3D printing technology. Combined with a multi-class, multi-output neural network model algorithm, the sensor achieves signal decoupling from the sensor array, allowing for precise detection of strain direction and intensity. It exhibits good sensitivity (gauge factor ~ 26.3), a moderate sensing range (0-10%), and high reliability (1000 stretching cycles). Using neural network algorithms, a four-unit spider-web sensor array achieves approximately 97% accuracy in identifying strain intensity and direction within the 0-10% strain range under various surface stimuli. Additionally, it can track complex human motions, demonstrating significant potential in applications such as motion monitoring and human-machine interaction.

Nano Research
Cite this article:
Fu C, Rong C, Zhang B, et al. High-sensitivity omnidirectional recognition strain sensor based on two-dimensional materials. Nano Research, 2025, https://doi.org/10.26599/NR.2025.94907411
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