Thermo-phototronic Effect for Self-Powered Photodetector using n-3C-SiC/p-Si Heterostructure

Nguyen, Hung D.; Nguyen, Thanh; Nguyen, Duy Van; Phan, Hoang‐Phuong; Nguyen, Nam‐Trung; Dao, Dzung Viet; Bell, John; Dinh, Toan

doi:10.1109/sensors52175.2022.9967105

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…[29] Furthermore, 3C-SiC has emerged as an ideal candidate for developing temperature sensors, [30] and thermal flow sensors [31] because of its high bandgap, low Young's modulus, and fast thermal response. [32,33] These features make 3C-SiC highly suitable for healthcare application. However, to date, there have been no reports demonstrating on the potential of 3C-SiC as a sensing material for respiratory detection.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning‐Assisted Sensitive 3C‐SiC Sensor for Long‐Term Monitoring of Physical Respiration

Tran,

Van Nguyen,

Nguyen

et al. 2024

Advanced Sensor Research

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In human life, respiration serves as a crucial physiological signal. Continuous real‐time respiration monitoring can provide valuable insights for the early detection and management of several respiratory diseases. High‐sensitivity, noninvasive, comfortable, and long‐term stable respiration devices are highly desirable. In spite of this, existing respiration sensors cannot provide continuous long‐term monitoring due to the erosion from moisture, fluctuations in body temperature, and many other environmental factors. This research developed a wearable thermal‐based respiration sensor made of cubic silicon carbide (3C‐SiC) using a microfabrication process. The results showed that as a result of the Joule heating effect in the robustness 3C‐SiC material, the sensor offered high sensitivity with the negative temperature coefficient of resistance of approximately 5,200ppmK‐1, an excellent response to respiration and long‐term stability monitoring. Furthermore, by incorporating a deep learning model, this fabricated sensor can develop advanced capabilities to distinguish between the four distinct breath patterns: slow, normal, fast, and deep breathing, and provide an impressive classification accuracy rate of ≈ 99.7%. The results of this research represent a significant step in developing wearable respiration sensors for personal healthcare systems.

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Section: Introductionmentioning

confidence: 99%

Deep Learning‐Assisted Sensitive 3C‐SiC Sensor for Long‐Term Monitoring of Physical Respiration

Tran,

Van Nguyen,

Nguyen

et al. 2024

Advanced Sensor Research

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“…There are some previous reports on self-powered sensors that can utilize light energy and thermal energy. − However, new sensing technology development is still needed to attain sensors that are more efficient, more readily available, and more compact in size. − Thus, a compact self-powered sensor that can capture light energy and function well in hot environments would be the perfect answer to the mentioned issues . For self-powered sensing applications, SiC/Si heterostructure-based photodetectors have recently gained a lot of attention. , There are some reports showing that using the temperature gradient can substantially improve the photovoltage of semiconductors, ,− known as the thermo-phototronic effect. However, there have been very limited reports on the effect of the temperature gradient on the photovoltaic effect of the SiC/Si heterostructure.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Photovoltaic Effect in n-3C-SiC/p-Si Heterostructure Using a Temperature Gradient for Microsensors

Nguyen,

Nguyen

et al. 2023

ACS Appl. Mater. Interfaces

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The development of fifth-generation (5G) communications and the Internet of Things (IoT) has created a need for high-performance sensing networks and sensors. Improving the sensitivity and reducing the energy consumption of these sensors can improve the performance of the sensing network and conserve energy. This paper reports a large enhancement of the photovoltaic effect in a 3C-SiC/Si heterostructure and the tunability of the photovoltage under the impact of a temperature gradient, which has the potential to increase the sensitivity and reduce the energy consumption of microsensors. To start with, cubic silicon carbide (3C-SiC) was grown on a silicon wafer, and a micro-3C-SiC/Si heterostructure device was then fabricated using standard photolithography. The result revealed that the sensor could either capture light energy, transform it into electrical energy for self-power purposes, or detect light with intensities of 1.6 and 4 mW/cm2. Under the impact of the temperature gradient induced by conduction heat transfer from a heater, the measured photovoltage was improved. This thermo-phototronic coupling enhanced the photovoltage up to 51% at a temperature gradient of 8.73 K and light intensity of 4 mW/cm2. Additionally, the enhancement can be tuned by controlling the direction of the temperature gradient and the temperature difference. These findings indicate the promise of the temperature gradient in SiC/Si heterostructures for developing high-performance temperature sensors and self-powered photodetectors.

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Tunable thermo-phototronic effect in unintentionally doped n-3C–SiC/p-Si heterostructure

Nguyen,

Tran

et al. 2024

Applied Physics Letters

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The convergence of the Internet of Things (IoT) and 5G technology is creating a high demand in sensor signals, prompting a shift toward self-powered sensors as eco-friendly alternatives to the conventional battery-powered ones. The 3C–SiC/Si heterostructure recently has gained significant attention for sensing applications, including self-powered sensors. However, it has remained unclear about the sensing properties and the underlying physics of the sensing mechanism of the unintentionally doped n-SiC/p-Si heterostructure, hindering the design optimization of SiC/Si heterojunction self-powered devices for diverse applications. This study investigates the thermo-phototronic effect and its underlying mechanism in an unintentionally doped n-3C–SiC/p-Si heterostructure for self-powered sensors. The sensors can be self-powered by absorbing energy from photons to generate photovoltage and photocurrent as high as 110 mV and 0.8 μA. In addition, widening the electrode spacing increased the photovoltage of the device by as much as 122% and the photocurrent by as much as 65%. When the temperature gradient is progressively increased by heating one electrode, the photovoltage decreases gradually, while the current exhibits an initial increase of up to 10%, followed by a decline. These tunable characteristics are attributed to the capability of the heterostructure to control the transport of charge carriers and the impact of unintentionally doped n-SiC on the diffusion of charge carriers. The results of this study can be applied in the development of photodetectors, thermal sensors, and position detectors with tunable sensing performance.

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Thermo-phototronic Effect for Self-Powered Photodetector using n-3C-SiC/p-Si Heterostructure

Cited by 3 publications

References 15 publications

Deep Learning‐Assisted Sensitive 3C‐SiC Sensor for Long‐Term Monitoring of Physical Respiration

Deep Learning‐Assisted Sensitive 3C‐SiC Sensor for Long‐Term Monitoring of Physical Respiration

Enhanced Photovoltaic Effect in n-3C-SiC/p-Si Heterostructure Using a Temperature Gradient for Microsensors

Tunable thermo-phototronic effect in unintentionally doped n-3C–SiC/p-Si heterostructure

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