Hojun Lee
Pusan National University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Hojun Lee.
Journal of the Korean Society for Precision Engineering | 2012
Sungha Choi; Hobin Jeong; Young-Bong Park; Hojun Lee; Hyoungjae Kim; Haedo Jeong
There are several indicators to represent characteristics of chemical mechanical planarization (CMP) such as material removal rate (MRR), surface quality and removal uniformity on a wafer surface. Especially, the removal uniformity on the wafer edge is one of the most important issues since it gives a significant impact on the yield of chip production on a wafer. Non-uniform removal rate at the wafer edge (edge effect) is mainly induced by a non-uniform pressure from nonuniform pad curvature during CMP process, resulting in edge exclusion which means the region that cannot be made to a chip. For this reason, authors tried to minimize the edge exclusion by using an edge profile control (EPC) ring. The EPC ring is equipped on the polishing head with the wafer to protect a wafer from the edge effect. Experimental results showed that the EPC ring could dramatically minimize the edge exclusion of the wafer. This study shows a possibility to improve the yield of chip production without special design changes of the CMP equipment.
Journal of The Korean Institute of Electrical and Electronic Material Engineers | 2011
Woonki Shin; Sunjoon Park; Hyunseop Lee; Moonki Jeong; Youngkyun Lee; Hojun Lee; Young-Min Kim; Hanchul Cho; Sukbae Joo; Haedo Jeong
Copper (Cu) had been attractive material due to its superior properties comparing to other metals such as aluminum or tungsten and considered as the best metal which can replace them as an interconnect metal in integrated circuits. CMP (Chemical Mechanical Polishing) technology enabled the production of excellent local and global planarization of microelectronic materials, which allow high resolution of photolithography process. Cu CMP is a complex removal process performed by chemical reaction and mechanical abrasion, which can make defects of its own such as a scratch, particle and dishing. The abrasive particles remain on the Cu surface, and become contaminations to make device yield and performance deteriorate. To remove the particle, buffing cleaning method used in post-CMP cleaning and buffing is the one of the most effective physical cleaning process. AE(Acoustic Emission) sensor was used to detect dynamic friction during the buffing process. When polishing is started, the sensor starts to be loaded and produces an electrical charge that is directly proportional to the applied force. Cleaning efficiency of Cu surface were measured by FE-SEM and AFM during the buffing process. The experimental result showed that particles removed with buffing process, it is possible to detect the particle removal efficiency through obtained signal by the AE sensor.
Journal of The Korean Institute of Electrical and Electronic Material Engineers | 2008
Jiheon Oh; Sangjik Lee; Hojun Lee; Hanchul Cho; Hyunseop Lee; Hyoungjae Kim; Haedo Jeong
There are many factors to affect polishing performance normally in chemical mechanical polishing (CMP) process. One of the factors is a pad profile. A pad profile has not been considered as a significant factor. However, a pad profile is easily changed by conditioning process in CMP, and then changed pad profile affects polishing performance. Therefore, understanding how the pad profile is changed by conditioning process is very important. In this paper, through the simulation based on kinematic analysis, the variation of the pad profile was described in accordance with difference condition of conditioning process. A swing-arm type conditioner was applied in this simulation. A swing-arm type conditioner plays a role of generating asperities on pad surface. The conditions of conditioing process to get uniform removal were also investigated by comparing the simulation with the experiment.
Journal of the Korean Physical Society | 2009
Woonki Shin; Hanchul Cho; Hojun Lee; Haedo Jeong
Current Applied Physics | 2009
Hojun Lee; Y.S. Jeong; Sung-Bo Park; Sukhoon Jeong; Hyerim Kim; Chae-Ryong Cho
Journal of Crystal Growth | 2011
Hyunseop Lee; Hiroshi Kasuga; Hitoshi Ohmori; Hojun Lee; Haedo Jeong
International Journal of Precision Engineering and Manufacturing | 2015
Hojun Lee; Haedo Jeong
International Journal of Precision Engineering and Manufacturing | 2011
Changsuk Lee; Hojun Lee; Moonki Jeong; Haedo Jeong
International Journal of Precision Engineering and Manufacturing-Green Technology | 2016
Youngkyun Lee; Yong-Jin Seo; Hojun Lee; Haedo Jeong
International Journal of Precision Engineering and Manufacturing | 2015
Hojun Lee; Moonsung Kim; Haedo Jeong