Highly Sensitive Thermal Sensor Design Using a Gate-Bias-Controlled TCR in MoSe<sub>2</sub> FET

Temperature coefficient of resistance (TCR) is an important property for the design of thermal sensors. It is calculated as per the relative shift in electrical resistance for every degree of thermal variation. Furthermore, tunable TCR implies controlling the TCR through the manipulation of gate voltage. In this article, we have investigated the TCR tunability of the layered semiconductor material molybdenum diselenide (MoSe<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><roman>2</roman></sub>) with gate-bias control. Atomic force microscope (AFM) is used to measure flake height, and Raman spectroscopy is used to characterize the MoSe<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><roman>2</roman></sub> flakes. Their TCR is higher by about two times that of MoS<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><roman>2</roman></sub> and five times that of metallic films, which are typically around 0.5% K<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-<roman>1</roman></sup>. Its TCR can be tuned to about two times higher than its value for 15-nm-thick flake within a gate voltage change of 7 V, with the highest recorded value being -2.75% K<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-<roman>1</roman></sup>. Similarly, 65-nm-thick flake has a TCR tunability of 4.5 times higher than the minimum value. Additionally, the average relative uncertainty in TCR is observed to be 3.8% for the 65-nm devices and 4.6% for the 15-nm devices, respectively.

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Journal
IEEE Transactions on Electron Devices
Published
2025-05-07
DOI
https://doi.org/10.1109/ted.2025.3564929
Primary Topic
Neural Networks and Applications
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article
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article

Highly Sensitive Thermal Sensor Design Using a Gate-Bias-Controlled TCR in MoSe2 FET

Shubham Saxena, Biswajit Khan, Nitish Kumar, V. Ramgopal Rao et al.
IEEE Transactions on Electron Devices
Neural Networks and Applications
article

Highly Sensitive Thermal Sensor Design Using a Gate-Bias-Controlled TCR in MoSe2 FET

Shubham Saxena, Biswajit Khan, Nitish Kumar, V. Ramgopal Rao, Samaresh Das, Sumit Sharma
article en

Abstract

Temperature coefficient of resistance (TCR) is an important property for the design of thermal sensors. It is calculated as per the relative shift in electrical resistance for every degree of thermal variation. Furthermore, tunable TCR implies controlling the TCR through the manipulation of gate voltage. In this article, we have investigated the TCR tunability of the layered semiconductor material molybdenum diselenide (MoSe<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><roman>2</roman></sub>) with gate-bias control. Atomic force microscope (AFM) is used to measure flake height, and Raman spectroscopy is used to characterize the MoSe<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><roman>2</roman></sub> flakes. Their TCR is higher by about two times that of MoS<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><roman>2</roman></sub> and five times that of metallic films, which are typically around 0.5% K<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-<roman>1</roman></sup>. Its TCR can be tuned to about two times higher than its value for 15-nm-thick flake within a gate voltage change of 7 V, with the highest recorded value being -2.75% K<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-<roman>1</roman></sup>. Similarly, 65-nm-thick flake has a TCR tunability of 4.5 times higher than the minimum value. Additionally, the average relative uncertainty in TCR is observed to be 3.8% for the 65-nm devices and 4.6% for the 15-nm devices, respectively.

IEEE Transactions on Electron DevicesVol. 72(6)
Care India (IN), Indian Institute of Technology Delhi (IN)
Affordable and clean energy
Openalex Percentile: Top 96%
Neural Networks and Applications
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