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Graphical abstraction. credit: nano letter (2023). DOI: 10.1021/acs.nanolett.3c03572
A research team led by Professor Hyong-Ryeol Park of UNIST’s Department of Physics has introduced technology that can amplify terahertz (THz) electromagnetic waves by more than 30,000 times. This breakthrough, combined with artificial intelligence (AI) based on physical models, will revolutionize the commercialization of 6G communications frequencies.
The research team, in collaboration with Professor Jun-Soo Lee of the University of Tennessee and Professor Mina Yun of Oak Ridge National Laboratory, will use advanced optimization techniques to optimize THz nanocavities specifically for 6G communications. succeeded in.
The research results were published in the online version. nano letter.
By integrating AI learning based on physical theoretical models, the research team was able to efficiently design THz nanoresonators on a personal computer. This process used to be time-consuming and demanding even on supercomputers.
Through a series of THz electromagnetic wave transmission experiments, the research team evaluated the efficiency of the newly developed nanoresonator.
The results were surprising: the electric field generated by the THz nanoresonator was more than 30,000 times stronger than typical electromagnetic waves. This achievement shows a remarkable efficiency improvement of more than 300% compared to his previously reported THz nanoresonators.
Traditionally, AI-based inverse design technologies have focused on designing optical device structures within the visible or infrared region, which is only a fraction of wavelengths. However, Professor Park explained that applying this technology to the 6G communication frequency range (0.075 to 0.3 THz) poses a major challenge because the scale is much smaller, about one millionth of a wavelength.
To overcome these challenges, the research team devised an innovative approach that combines a new THz nanoresonator with an AI-based inverse design method based on physical theoretical models. This approach allows him to optimize a device in less than 40 hours, even on a personal computer, compared to tens of hours for a single simulation or hundreds of years to optimize a single device. It is now possible to
The study’s lead author, Young-Taek Lee (Department of Physics at UNIST), highlighted the versatility of the optimized nanocavity, which could be used for ultra-precision detectors, ultra-small molecule detection sensors, and bolometer research. I explained its significance. He added: “The methodology adopted in this study is not limited to specific nanostructures and can be extended to a variety of studies using physical theoretical models of different wavelengths and structures.”
Professor Park said, “AI may seem to be able to solve all problems, but it is still important to understand physical phenomena,” and emphasized the importance of understanding physical phenomena in combination with AI technology. emphasized.
For more information:
More than 30,000 times more electric field enhancement in terahertz nanocavities realized by Rapid Inverse Design, Hyoung-Taek Lee et al. nano letter (2023). DOI: 10.1021/acs.nanolett.3c03572
Magazine information:
nano letter
