Jueun Baek, Yukyung Kim, Jeonghoon Oh, Junghyun Park, Kwang Hyeon Baik, Soohwan Jang, Junhwan Choi
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引用次数: 0
Abstract
Polymer dielectric materials are promising candidates for next-generation electronics due to their cost-effectiveness, molecular-level structural tunability, and mechanical deformability. Among various fabrication techniques, initiated chemical vapor deposition (iCVD) enables high-purity polymer dielectric films with robust insulating properties. However, the lack of high-resolution patterning techniques has hindered their integration into high-density electronics. Here, the dry etching process of an organosilicon polymer dielectric layer fabricated via iCVD process is systematically investigated by using reactive ion etching (RIE) with CF4 plasma. Direct mode RIE enabled a higher etch rate owing to the combined physical and chemical etching mechanisms, whereas remote mode RIE provided uniform etching with minimal perturbation on the surface morphology. Furthermore, introducing O2 gas in CF4 RIE significantly enhanced the etch rate in both modes, reaching ≈1 000 Å min-1, despite localized pattern distortions caused by SiOx formation. To validate its applicability, an ultrathin (≈33 nm), RIE-patterned polymer dielectric layer was implemented in an AlGaN/GaN-based metal-insulator-semiconductor high electron mobility transistor (MISHEMT), where the effective gate modulationwas achieved, along with a decent transconductance (≈1.5 mS) and a high current on/off ratio (>108). This study establishes a systematic, high-resolution dry etching method for the vapor-phase deposited, crosslinked polymer dielectric layer, paving the way toward high-density electronics.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.