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May 28, 2026Nano Research0 citationsOpen Access

A highly linear and durable flexible strain sensor based on MoS 2 van der Waals films for soft machines

XZXiangxu ZhuHOHao OuyangLSLiangjing Shi

Key Points

  • The aim is to develop a flexible strain sensor with high linearity and durability for soft machines.
  • MoS2 nanosheets prepared via electrochemical intercalation exfoliation
  • Assembled into conductive films with surface treatment for bonding with PDMS substrate
  • Integrated sensor on a flexible gripper for deformation monitoring
  • Sensor shows high linearity (R2 = 0.999) over a wide strain range
  • Exceeded 40,000 loading–unloading cycles with low hysteresis
  • Reliable response from −20 °C to 80 °C, applicable in various scenarios

Abstract

Abstract Flexible strain sensors for soft and deformable mechanical systems are required to deliver high linearity and durability under repeated deformation, which remain challenging for crack-based sensing mechanisms. Here, we report a highly linear and durable flexible strain sensor based on molybdenum disulfide (MoS2) van der Waals films. MoS2 nanosheets were prepared via electrochemical intercalation exfoliation and assembled into conductive films dominated by interlayer van der Waals interactions, followed by surface treatment to enable strong bonding with a polydimethylsiloxane (PDMS) substrate. Benefiting from a reversible interlayer sliding dominated sensing mechanism, the sensor exhibits high linearity (R2 = 0.999) over a wide strain range, low hysteresis, fast response and recovery behavior, and excellent durability exceeding 40,000 loading–unloading cycles. Furthermore, the sensor shows reliable response under the temperature range from −20 °C to 80 °C, ensuring its applicability across different scenarios. As a representative demonstration, the sensor is integrated onto a flexible gripper to enable deformation monitoring and slip state discrimination. These results highlight the potential of interlayer sliding based strain sensors for advanced soft machine related applications.

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Cite This Study

Zhu et al. (2026) studied this question.

synapsesocial.com/papers/6a17dc653fad632b0f9d91bfhttps://doi.org/10.26599/nr.2026.94908860
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