Organisation profile
Organisation profile
The fields of research in the Nano-Integrated Circuit Engineering Program of National Cheng Kung University are focused on 1) nanoelectronic device design and technology and 2) sensors. As semiconductor devices continue to shrink, mainly for cost reduction in industry, many issues have continuously surfaced. Besides manufacturing challenges, ever increasing transistor density and computation have raised the concern on power consumption. To expedite further nanoelectronic development, especially for growing mobile market, low power electronics are on demand, which requires novel devices to fulfill the low power strategy while the performance is not compromised. This Nano-IC Program has developed several novel green electronic devices. Another field of sensors has just been started. We have worked on novel materials including promising 2D materials for photo detectors. Other experiments of nanoelectronic devices for general sensor applications are under progress.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
-
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
Dive into the research topics where Doctoral Degree Program on Nano-Integrated-Circuit Engineering is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
Ambient aqueous synthesis of aginse quantum dots for efficient white-light photodetectors
Lin, Y. J., Huang, J. Z., Wang, P. C., Chiou, B. H., Liu, S. Y., Chen, S. L. & Tu, W. C., 2026 Mar 1, In: Sensors and Actuators A: Physical. 399, 117369.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus) -
A visualized AI-assisted framework for pre-surgical evaluation of implant pathways on periapical radiographs
Lin, Y. J., Chen, C. A., Mao, Y. C., Kao, Z. C., Chang, L. H., Tian, S. Y., Chen, S. L. & Tu, W. C., 2026, (Accepted/In press) In: Journal of Dental Sciences.Research output: Contribution to journal › Article › peer-review
Open Access -
Dynamic origins of cation-modulated stability in tin-based perovskites revealed through combined fine-tuned machine learning interatomic potentials and experiments
Tai, Y. T., Tu, C. H., Wang, M. Y., Huang, Z. L., Yeh, C. H., Lau, V. W. H., Shih, C. F. & Tian, H. K., 2026 Jan 22, In: Journal of Materials Chemistry A. 14, 6, p. 3354-3368 15 p.Research output: Contribution to journal › Article › peer-review