Microfluidic injector simulation with SAW sensor for 3D integration

Author(s):  
Hang Bui Thu ◽  
Trinh Chu Duc
Keyword(s):  
Author(s):  
Tania Braun ◽  
Karl-Friedrich Becker ◽  
Michael Topper ◽  
Rolf Aschenbrenner ◽  
Martin Schneider-Ramelow
Keyword(s):  

Micromachines ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 89
Author(s):  
Jongwon Lee ◽  
Kilsun Roh ◽  
Sung-Kyu Lim ◽  
Youngsu Kim

This is the first demonstration of sidewall slope control of InP via holes with an etch depth of more than 10 μm for 3D integration. The process for the InP via holes utilizes a common SiO2 layer as an InP etch mask and conventional inductively coupled plasma (ICP) etcher operated at room temperature and simple gas mixtures of Cl2/Ar for InP dry etch. Sidewall slope of InP via holes is controlled within the range of 80 to 90 degrees by changing the ICP power in the ICP etcher and adopting a dry-etched SiO2 layer with a sidewall slope of 70 degrees. Furthermore, the sidewall slope control of the InP via holes in a wide range of 36 to 69 degrees is possible by changing the RF power in the etcher and introducing a wet-etched SiO2 layer with a small sidewall slope of 2 degrees; this wide slope control is due to the change of InP-to-SiO2 selectivity with RF power.


Micromachines ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 648
Author(s):  
Sanjeeb Lama ◽  
Jinuk Kim ◽  
Sivalingam Ramesh ◽  
Young-Jun Lee ◽  
Jihyun Kim ◽  
...  

Nanostructured materials synthesized by the hydrothermal and thermal reduction process were tested to detect the dimethyl methylphosphonate (DMMP) as a simulant for chemical warfare agents. Manganese oxide nitrogen-doped graphene oxide with polypyrrole (MnO2@NGO/PPy) exhibited the sensitivity of 51 Hz for 25 ppm of DMMP and showed the selectivity of 1.26 Hz/ppm. Nitrogen-doped multi-walled carbon nanotube (N-MWCNT) demonstrated good linearity with a correlation coefficient of 0.997. A comparison between a surface acoustic wave and quartz crystal microbalance sensor exhibited more than 100-times higher sensitivity of SAW sensor than QCM sensor.


2019 ◽  
Vol 65 (2) ◽  
pp. 178-184
Author(s):  
J. X. Zhai ◽  
C. Chen

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