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Self-biased, High Efficiency Optical Sensor Prepared Using Heterojunction on SiNWs on Si Chip

  • Pooja Singh
  • , Pramod Kumar
  • , V. K. Jain
  • , Avshish Kumar
  • Amity University, Noida
  • Maharaja Surajmal Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Optical sensing devices based on heterojunction structures are gaining a lot of attention due to their promising applications in various sectors. Therefore, this study presents a highly efficient infrared (IR) optical sensor based on a TiO2/RGO/SiNWs heterojunction structure on a silicon chip. Silicon nanowires (SiNWs) were synthesized using the metal-assisted chemical etching (MACE) method, while reduced graphene oxide (RGO) nanosheets were prepared via chemical vapor deposition (CVD) technique. The resulting heterojunction structure exhibited strong light absorption (>90%) due to the surface plasmon resonance effect, leading to significant charge carrier generation. The junction is capable to separate out the charge carriers, generating a photovoltage of approximately ~ 100 mV and a photocurrent of ~ 40 μA, thereby resulting in a highly efficient self-biased IR sensor operable under ambient room conditions. The sensor demonstrated excellent performance (an approximately 47% change in resistance), including a high responsivity of ~ 17 mA/W, detectivity of 2.3 × 1010 Jones, and fast response and recovery times of 0.3 s and 0.35 s, respectively. Additionally, the device showed stable operation over multiple ON/OFF cycles, confirming its reliability. These findings indicate that the developed heterojunction-based IR sensor is a promising, low-cost, consistent, and self-powered solution for advanced optical sensing applications.

Original languageEnglish
Title of host publicationRecent Advancements in Semiconductor Technologies - Proceeding of ICST 2024
EditorsV.K. Jain, O.P. Sinha, Abhishek Verma, Ritu Srivastava, Manish Hooda, Satinder Kumar Sharma
PublisherSpringer Science and Business Media Deutschland GmbH
Pages27-37
Number of pages11
ISBN (Print)9789819533046
DOIs
StatePublished - 2026
Externally publishedYes
EventInternational Conference on Semiconductor Technologies, ICST 2024 - Noida, India
Duration: 18 Sep 202420 Sep 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1491 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Semiconductor Technologies, ICST 2024
Country/TerritoryIndia
CityNoida
Period18/09/2420/09/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • NIR photodetector
  • Photovoltaic
  • Reduced graphene oxide
  • Silicon nanowires
  • Titanium dioxide

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