Photo Excited Switchable Single-/Dual-Band Terahertz Meta Material Absorber

Authors

  • R.Praveena Associate Professor,
  • R.Niranjani UG Student
  • V.Dhivya UG Student
  • K.Aakash UG Student

Abstract

This study presents the design of a photoexcited switchable Single/dual-function metamaterial absorber operating in the THz band, taking use of silicon's conductivity tuning as a function of incoming pump power. When the conductivity of silicon is 150 Sm1, the absorber exhibits a 99.6 percent absorption peak at 2.08 THz and may be utilized for sensing. Absorption peaks have a refractive index sensitivity of up to 456 GHz/RIU. When the conductivity is set at si = 12,000 Sm1, an absorption band with a bandwidth of 1.1 THz is produced between 3.4 THz and 4.5 THz. By measuring the electric and magnetic field distribution on the surface at certain absorption frequencies, we can understand the process that generates the sensing absorption peak and the wideband absorption. It has the potential for widespread use in areas including terahertz communication, electromagnetic stealth, and biochemical detection, and it's also quite easy to implement.

Downloads

Download data is not yet available.

Author Biographies

R.Praveena , Associate Professor,

Department of Electronics and Communication Engineering, Muthayammal Engineering College,

Namakkal, Tamil Nadu, India

R.Niranjani, UG Student

Department of Electronics and Communication Engineering, Muthayammal Engineering College,

Namakkal, Tamil Nadu, India

V.Dhivya, UG Student

Department of Electronics and Communication Engineering, Muthayammal Engineering College,

Namakkal, Tamil Nadu, India

K.Aakash, UG Student

Department of Electronics and Communication Engineering, Muthayammal Engineering College,

Namakkal, Tamil Nadu, India

References

Priyadarshini.J.Patil, Revathi.M A Survey on Intelligent System for Vehicle Emission Monitoring 2018 IJETT

D.Arunkumar, K.Ajaykanth, M.Ajithkannan, Sivasubramanian Smart Air Pollution Detection and Monitoring Using IOT International Journal of Pure and Applied Mathematics.

Jagadish Nayak Round-the-Clock Vehicle Emission Monitoring using IoT For Smart Cities 2018IJACSA.

Frances Moore, "Climate Change and Air Pollution: Exploring the Synergies and Potential for Mitigation in Industrializing Countries", Sustainability, 2009. Vol. 1(1), pp. 43-54.

Brook RD, F.B., Cascio W, Hong Y, Howard G, Lipsett M, Luepker R, Mittleman M, Samet J, Smith SC Jr, Tager I; "Air pollution and cardiovascular disease: a statement for healthcare professionals from the Expert Panel on Population and Prevention Science of the American Heart Association", Circulation, Vol. 109 (21)June 1, 2004.

Sarath K., Guttikundaab, R., “Health impacts of particulate pollution in a megacity Delhi, India”, Environmental Development, April 2013. Vol. 6, pp. 8-20.

C.Kaiwen, et al. “An Intelligent Home Appliance Control-based on WSN for Smart Buildings”, In the Proceedings of the IEEE International Conference on Sustainable Energy Technologies (ICSET), Hanoi, Vietnam, 14-16 November 2016, pp. 282-287.

J. Dutta, et al., “AirSense: Opportunistic crowd-sensing based air quality monitoring system for the smart city”, In the Proceedings of the IEEE SENSORS, 30 Oct.-3 Nov. 2016Orlando, FL, USA.

Kwok Wai Tham, et al., “A Wireless Sensor-Actuator Network for Enhancing IEQ”, In the Proceedings of the 15th Conference of the International Society of Indoor Air Quality & Climate (ISIAQ) 2018. Philadelphia, PA, USA.

W. Wang, Y. Yuan, and Z. Ling, “The Research and Implement of Air Quality Monitoring System Based on ZigBee”, In the Proceedings of the 7th International Conference on Wireless Communications, Networking and Mobile Computing (Wixom). 23-25 Sept. 2011 Wuhan.

H. Azath, A. K. Velmurugan, K. Padmanaban, A. M. Senthil Kumar, and Murugan Subbiah , “Ant based routing algorithm for balanced the load and optimized the AMNET lifetime,” AIP Conference Proceedings, vol. 2523, pp. 1-9, 2023.

M. Senthil Kumar, H. Azath, A. K. Velmurugan, K. Padmanaban, and Murugan Subbiah, “Prediction of Alzheimer's disease using hybrid machine learning technique,” AIP Conference Proceedings, vol. 2523, pp. 1-6, 2023.

V. Jaiganesh, S. Murugan, “PC based heart rate monitor implemented in xilinx fpga and analysing the heart rate,” Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, pp. 319–323, 2005.

Balaji, V. P. Srinivasan, J. Rangarajan, V. Nagaraju, B. Bharathi and S. Murugan, “Smart Technique to Prevent Flood Disaster due to High Rainfall in Coastal Areas using IoT,” 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, pp. 1252-1256, 2023. P. Arul, M. Meenakumari, N. Revathi, S. Jayaprakash, and S. Murugan, “Intelligent Power Control Models for the IOT Wearable Devices in BAN Networks,” 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, pp. 820-824, 2023.

Praveena, R., TR Ganesh Babu, K. Sakthimurugan, G. Sudha, M. Birunda, and J. Surendiran. "Analysis of Neural Networks for Object Detection using Image Processing Techniques." In 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), pp. 1698-1702. IEEE, 2022.

Downloads

Published

2023-05-23

Issue

Section

Articles