Browsing by Author "Kusumi, T"

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Impact of air filter material on metal oxide semiconductor (MOS) device characteristics in HF vapor environment
(2004-05-15)
Hsiao, CW
;
Lou, JC
;
Yeh, CF
;
Hsieh, CM
;
Lin, SJ
Airborne molecular contamination (AMC) is becoming increasingly important as devices are scaled down to the nanometer generation. Optimum ultra low penetration air (ULPA) filter technology can eliminate AMC. In a cleanroom, however, the acid vapor generated from the cleaning process may degrade the ULPA filter, releasing AMC to the air and the surface of wafers, degrading the electrical characteristics of devices. This work proposes the new PTFE ULPA filter, which is resistant to acid vapor corrosion, to solve this problem. Experimental results demonstrate that the PTFE ULPA filter can effectively eliminate the AMC and provide a very clean cleanroom environment.
Impact of airborne molecular contamination to nano-device performance
(2002)
Yeh, CF
;
Hsiao, CW
;
Lin, SJ
;
Xie, ZM
;
Kusumi, T
In this paper, we detected most airborne molecular contamination (AMC) in present cleanroom and in our specially equipped clean bench through air sampling and wafer sampling experiments. And then we investigate the AMC on device performance under different filter modules. We discovered that the NEUROFINE PTFE filter combines with the chemical filters have excellent controlling ability of metal, organic and inorganic contaminations. We believe that the novel filter combination can be used to further improve device manufacturing environment when device is continuously scaled down to nanometer generation.
The removal of airborne molecular contamination in cleanroom using PTFE and chemical filters
(2004-05-01)
Yeh, CF
;
Hsiao, CW
;
Lin, SJ
;
Hsieh, CM
;
Kusumi, T
Cleanroom contamination and its impact on the performance of devices are beginning to be investigated due to the increasing sensitivity of the semiconductor manufacturing process to airborne molecular contamination (AMC). A clean bench was equipped with different filter modules and then most AMC in the cleanroom and in the clean bench was detected through air-sampling and wafer-sampling experiments. Additionally, the effect of AMC on device performance was examined by electrical characterization. A combination of the NEUROFINE PTFE filter and chemical filters was found to control metal, organic, and inorganic contamination. We believe that the new combination of filters can be used to improve the manufacturing environment of devices, which are being continuously shrunk to the nanometer scale.