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Shape memory polymer resonators as highly sensitive uncooled infrared detectors.

Ulas Adiyan1, Tom Larsen2, Juan José Zárate1

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Researchers developed novel resonant infrared sensors using shape memory polymers, achieving a significant improvement in sensitivity. This breakthrough enables flexible, uncooled thermal imaging without vacuum packaging.

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Area of Science:

  • Materials Science
  • Physics
  • Engineering

Background:

  • Uncooled infrared detectors are crucial for thermal imaging, with bolometers being the dominant technology.
  • Resonant sensors offer an alternative uncooled sensing method by converting infrared radiation into mechanical resonator frequency shifts.

Purpose of the Study:

  • To develop highly sensitive resonant infrared sensors utilizing thermo-responsive shape memory polymers.
  • To improve the temperature coefficient of frequency (TCF) for enhanced infrared detection.

Main Methods:

  • Exploiting the phase-change properties of polymers as a transduction mechanism in resonant sensors.
  • Integrating shape memory polymers with high-Q silicon nitride membranes as substrates.
  • Characterizing sensor performance using noise equivalent temperature difference (NETD) measurements in vacuum and air.

Main Results:

  • Achieved a 2 orders of magnitude improvement in the temperature coefficient of frequency.
  • Demonstrated NETD of 22 mK in vacuum and 112 mK in air with f/2 optics.
  • Further improved NETD to 6 mK in vacuum using silicon nitride substrates.

Conclusions:

  • The developed resonant infrared sensors exhibit high sensitivity and performance.
  • The technology eliminates the need for vacuum packaging, enabling flexible, non-hermetically sealed infrared sensors.
  • This advancement paves the way for broader applications of uncooled thermal imaging.