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A Crack-Based One-Dimensional Microspheres Array Enables Thermal-Mechanical Decoupled Dual-Functional Sensing.

Wanqing Xu1, Hongyi Tu1, Zehao Wang1

  • 1College of Smart Materials and Future Energy, State Key Laboratory of Coatings for Advanced Equipment, Advanced Coatings Research Center of Ministry of Education of China, Fudan University, Shanghai, China.

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Summary
This summary is machine-generated.

Flexible strain sensors can now accurately measure deformation by using a bioinspired crack-based microsphere array (COMA). This novel approach stabilizes sensor geometry against temperature changes, improving reliability for electronic systems.

Keywords:
bioinspired microspheres arraycrack‐based sensingflexible electronicsmultimodal sensing soft materialsstructural signal modulationthermal–mechanical decouplingultralow‐strain detection

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Area of Science:

  • Materials Science
  • Flexible Electronics
  • Bioinspired Engineering

Background:

  • Strain sensors in soft-material and flexible electronics suffer from parasitic signals due to isotropic thermal expansion, particularly affecting crack-based designs.
  • Thermally induced crack evolution in sensors can interfere with accurate mechanical deformation measurements.

Purpose of the Study:

  • To develop a strain sensor that stabilizes crack geometry under isotropic thermal expansion.
  • To enable accurate strain extraction by mitigating parasitic thermal signals in flexible sensors.

Main Methods:

  • Introduced a crack-based one-dimensional microspheres array (COMA) inspired by Nostoc morphology.
  • Utilized conductive polyaniline (PANI)@ polystyrene (PS) microspheres assembled into grooved elastomers to form discrete, crack-like junctions.
  • Integrated the COMA sensor with a multilayer perceptron model for state classification.

Main Results:

  • The COMA sensor demonstrated a stable thermal response of 75.2%°C⁻¹ between 20°C-60°C.
  • The sensor effectively converts ultralow mechanical deformation (≤0.5%) into pronounced electrical signals.
  • Achieved 97.0% accuracy in classifying four operational states of a pouch cell using the integrated model.

Conclusions:

  • The bioinspired COMA strategy provides a general approach for creating thermomechanically stable, intelligent flexible sensors.
  • This method enhances the reliability and accuracy of strain transduction in flexible electronic systems.
  • The developed sensors show potential for multimodal sensing applications in various electronic devices.