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Soft Computing for Terahertz Metamaterial Absorber Design for Biomedical Application

Balamati Choudhury1, Pavani Vijay Reddy1, Sanjana Bisoyi1, R. M. Jha1

CSIR-NAL, Bangalore, India.

Computers, Materials & Continua 2013, 37(3), 135-146. https://doi.org/10.3970/cmc.2013.037.135

Abstract

The terahertz region of the electromagnetic spectrum plays a vital role in biomedical imaging because of its sensitivity to vibrational modes of biomolecules. Advances in broadband terahertz imaging have been emerging in the field of biomedical spectroscopy. Biomedical imaging is used to distinguish between the infected (cancer) and the non-infected tissue, which requires broad band and highly efficient radar absorbing material (RAM) designs (to obtain high resolution image of the tissue). In this paper, a metamaterial broadband RAM design is proposed towards biomedical spectroscopy applications in the THz region. The particle swarm optimization (PSO) algorithm is used for the design and optimization of the RAM, which enhances the absorption to nearly 99.32% at the required operational frequency.

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APA Style
Choudhury, B., Reddy, P.V., Bisoyi, S., Jha, R.M. (2013). Soft computing for terahertz metamaterial absorber design for biomedical application. Computers, Materials & Continua, 37(3), 135-146. https://doi.org/10.3970/cmc.2013.037.135
Vancouver Style
Choudhury B, Reddy PV, Bisoyi S, Jha RM. Soft computing for terahertz metamaterial absorber design for biomedical application. Comput Mater Contin. 2013;37(3):135-146 https://doi.org/10.3970/cmc.2013.037.135
IEEE Style
B. Choudhury, P.V. Reddy, S. Bisoyi, and R.M. Jha "Soft Computing for Terahertz Metamaterial Absorber Design for Biomedical Application," Comput. Mater. Contin., vol. 37, no. 3, pp. 135-146. 2013. https://doi.org/10.3970/cmc.2013.037.135



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