CLEO-PR2022/ISOM'22/ODF'22

Presentation information

Oral Session

CLEO-PR2022 » CLEO-PR 2022 Post Deadline

[CPDP] CLEO-PR 2022 Post Deadline

Mon. Aug 1, 2022 6:15 PM - 9:00 PM Small Hall (2F)

Session Chair: Fumihiko Kannari (Keio Univ.)

7:00 PM - 7:15 PM

[CPDP-05] A Machine Learning-based Approach to Model Highly-thermally Robust Metasurface Absorber

Sumbel Ijaz1, Sadia Noureen1, Bacha Rehman2, Muhammad Zubair1, Muhammad Qasim Mehmood1, *Yehia Massoud3 (1. MicroNano Lab, Electrical Engineering Department, Information Technology University of the Punjab, Lahore 54600, Pakistan (Pakistan), 2. Department of Computer Science, Namal University, Mianwali, Punjab, Pakistan (Pakistan), 3. Innovative Technologies Laboratories (ITL), Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia (Saudi Arabia))

[Presentation Style] Online

For accelerating design procedure of compact and efficient on-chip nano-photonics and to aid computationally expensive, time-exhaustive state-of-the-art iterative simulation schemes, regression-based machine-learning models are demonstrated that predict the optical response and structural parameters of the meta-atoms