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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.

Keywords

Terahertz, Metamaterial absorber, Biomedical Spectroscopy, Soft computing, PSO.

Cite This Article

. , "Soft computing for terahertz metamaterial absorber design for biomedical application," Computers, Materials & Continua, vol. 37, no.3, pp. 135–146, 2013.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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