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Updated: Sep 16, 2025

Demonstrating the Simplicity and In Situ Temperature Monitoring of the Mechanochemical Synthesis of Metal Chalcogenides Suitable for Thermoelectrics
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Temperature-Responsive Microrobot for High-Temperature Sensing in Constrained Environments.

Shaobo Ding1,2, Junmin Liu1,2, Jiaxu Dong1

  • 1Key Laboratory of Microsystems and Microstructures Manufacturing (Harbin Institute of Technology), Ministry of Education, Harbin 150001, China.

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Summary
This summary is machine-generated.

A novel temperature-responsive microrobot (TRM) uses color changes and artificial neural networks for accurate temperature sensing in confined spaces. This innovation enables precise high-temperature monitoring in challenging industrial and geological environments.

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Area of Science:

  • Materials Science
  • Robotics
  • Artificial Intelligence

Background:

  • Accurate temperature measurement in confined or inaccessible environments presents significant challenges for conventional thermometry.
  • Existing nanoscale thermometers often struggle with efficiency and precision in complex, low-visibility settings.

Purpose of the Study:

  • To develop a microrobot capable of quantitative temperature measurement in constrained and nontransparent environments.
  • To integrate artificial neural networks with microscale thermal sensing for enhanced accuracy.

Main Methods:

  • A Janus-structured microrobot was designed with a thermochromic material (Cu(NH3)4SO4-based) and a magnetic actuation layer.
  • The microrobot's color changes at high temperatures (160-240 °C) were analyzed.
  • A multilayer perceptron neural network was trained to correlate chromaticity with temperature.

Main Results:

  • The microrobot demonstrated distinct and irreversible color responses at different elevated temperatures.
  • The trained neural network accurately predicted surrounding temperatures based on observed color features.
  • Feasibility was confirmed in a simulated porous microchannel, showing effective localized high-temperature detection.

Conclusions:

  • The developed temperature-responsive microrobot offers a viable solution for high-temperature sensing in restricted environments.
  • This technology has significant potential for industrial monitoring and deployment in complex, challenging conditions.
  • The integration of microrobots and AI advances microscale thermal sensing capabilities.