Multiscale Models for Morphological Analysis of Nanostructures
나노 구조물의 형상변화 분석을 위한 멀티스케일 모델 개발
- 주제(키워드) 도움말 Multiscale , nanostructure , Phase field method
- 발행기관 서강대학교 일반대학원
- 지도교수 김동철
- 발행년도 2013
- 학위수여년월 2013. 8
- 학위명 석사
- 학과 및 전공 도움말 일반대학원 기계공학과
- 실제URI http://www.dcollection.net/handler/sogang/000000052517
- 본문언어 영어
- 저작권 서강대학교 논문은 저작권 보호를 받습니다.
초록/요약 도움말
Over the past few decades, advance of observation and micro/nano control techniques enables the fabrication of a nano-structure beyond micro-scale. Currently, some methods are introduced to treat an atomic scale beyond nano-scale and scholarly results are obtained by experiments. Despite these results, fabrication of fine structures has drawbacks of low reproducibility and the difficulty of shape prediction. So, yield rate of structures is not suitable for commercialization. Of course, due to advance of micro/nano etching, electronic devices are progressed in nano-scale. However the etching techniques are limited to apply various field and expansive to set up etching equipment. For this reason, other methods have been recently introduced to make the fine structures and apply various fields for example pyrolysis, growth in a solution and so on. Our studies aimed at evolution of micro/nano structures, we propose some models which describe the evolution of shape to design the micro/nano structures. Since the evolutions take place across different scale, developed models are based on multiscalemulticomponent approaches such as PFM (phase field model) and PFC (phase field crystal) which represent the phenomena of morphological evolution dynamically. First, we develop a pyrolysis model and implement a simulation of polymer decomposition to obtain a carbon nano-wire. Nano carbon structure can be applied as electronic device. Therefore, it is important to predict final structures for high device performance. Other models describe a metallic particle synthesis in a solution under the controlled condition. Nano-particles grown in a solution is suitable for in-vivo application. And prediction of dominant shape contributes to raise a yield rate and improve an optical property.
more