Harnessing machine learning to probe dielectrics in next generation telecommunication and automotive radar applications
Generative Reinforcement Learning (GRL) Model combined with Genetic Algorithm Neural Network (GANN) is used to determine the appropriate Dielectric Material for its application in antennas for 5G and 6G transmission.
Authors
- Jyh‐Ming Ting (ORCID: https://orcid.org/0000-0002-9155-7706)
- Yen‐Hsun Su (ORCID: https://orcid.org/0000-0002-7213-1152)
- Kao-Shuo Chang
- Tianli Zheng (ORCID: https://orcid.org/0000-0002-2148-5030)
- Amit Kumar Sharma (ORCID: https://orcid.org/0000-0001-7573-8526)
- Jrjeng Ruan (ORCID: https://orcid.org/0000-0001-6857-6055)
- Chia‐Yun Chen (ORCID: https://orcid.org/0000-0002-8357-3968)
- I‐Ting Li
- Pin‐Chao Liao (ORCID: https://orcid.org/0000-0002-1969-5565)
- Yen-Lun Chiu
Institutions
- National Cheng Kung University (TW)
Publication Details
- Journal
- Journal of Materials Chemistry C
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5tc00104h
- Citations
- 3
- Primary Topic
- Electromagnetic Compatibility and Noise Suppression
- Type
- article
- Field-Weighted Citation Impact
- 2.19