Terahertz Plasmonics and Nano-Carbon Electronics for Nano-Micro Sensing and Imaging

Abstract

Sensing and imaging with THz waves is an active area of modern research in optical science and technology. There have been a number of studies for enhancing THz sensing technologies. In this paper, we review our recent development of THz plasmonic structures and carbon-based THz imagers. The plasmonic structures have strong possibilities of largely increasing detector sensitivity because of their outstanding properties of high transmission enhancement at a subwavelength aperture and local field concentration. We introduce novel plasmonic structures and their performance, including a Si-immersed bull’s-eye antenna and multi-frequency bull’s-eye antennas. The latter part of this paper explains carbon-based THz detectors and their applications in omni-directional flexible imaging. The use of carbon nanotube films has led to a room-temperature, flexible THz detector and has facilitated the visualization of samples with three-dimensional curvatures. The techniques described in this paper can be used effectively for THz sensing and imaging on a micro- and nano-scale.

Evaluation of student failure in higher education by an innovative strategy of fuzzy system combined optimization algorithms and AI

“…Combining ANFIS with nature-inspired optimization algorithms involves integrating the strengths of both approaches to enhance the modeling and optimization capabilities [ [54] , [55] , [56] , [57] , [58] , [59] , [60] , [61] ]. This integration approach allows for the creation of a hybrid system that benefits from the modeling capabilities of ANFIS and the optimization power of nature-inspired algorithms, potentially leading to improved model accuracy and generalization.…”

Process Flow for the Research, Development, and Manufac-Turing of Amodiaquine Dihydrochloride Dihydrate, an Anti-Malarial Drug

“…By targeting the critical metabolic pathways of malaria parasites, these studies hold potential for the development of more effective therapeutic agents [13][14][15]. Concurrently, machine learning technologies, especially the application of Extreme Gradient Boosting Decision Trees (XGBoost), have been employed to enhance the accuracy of malaria diagnostic tools [16,17]. This precision measurement technology not only increases diagnostic accuracy but also reduces costs, making malaria detection more widespread and economically feasible [18,19].…”

Graphene-based midinfrared photodetector with bull’s eye plasmonic antenna

“…Among the various methods that have been made to enhance the responsivity of graphene photodetectors, combining metallic subwavelength plasmonic antennas directly onto the graphene is one of the promising approaches. [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] These plasmonic metal-based antennas can localize plasmonic polaritons and cause strong field enhancement when illuminated by electromagnetic signal. These enhancements can be guided to the nanoscale gaps with graphene covered nearby and significantly enhance the light-matter interaction.…”