- Development of Liquid Identification Sensor Using Metasurface Device and AI Algorithm -

- Reliability Improvement by Learning Physical Optical Response With Vision AI Algorithm -

- Identification of Various Liquid Chemicals With Over 99% Accuracy -

Prof. Lee Sang-shin's research team (Department of Electronic Engineering) at Kwangwoon University, through joint research with Dr. Kim Jin-tae of the Electronics and Telecommunications Research Institute (ETRI), succeeded in developing a liquid identification sensor with high reliability by fusing micro-scale metasurface and Artificial Intelligence (AI).

[From left, Prof. Lee Sang-shin, Lee Hong-ryang (Combined Master's and PhD Course at Kwangwoon University), Dr. Jintae Kim (ETRI)]

[Schematic diagram of metasurface-based liquid identification process using vision AI]

Meanwhile, this research was carried out through the support project for university-focused research institutes in the field of science and engineering supported by the Ministry of Education and the mid-level researcher support project supported by the Ministry of Science and ICT. The research results were published in the March 2023 issue of ACS Photonics (IF: 7.077), an internationally renowned academic journal published by the American Chemical Society (ACS), and were selected as the cover paper.

Weblink: https://pubs.acs.org/doi/full/10.1021/acsphotonics.3c00057