scholarly journals Laser annealing of electrodeposited CuInSe2semiconductor precursors: experiment and modeling

2017 ◽  
Vol 5 (6) ◽  
pp. 1336-1345 ◽  
Author(s):  
H. J. Meadows ◽  
S. Misra ◽  
B. J. Simonds ◽  
M. Kurihara ◽  
T. Schuler ◽  
...  

Rapid laser annealing converts CuInSe2precursors into working semiconductors only when the precursor has suitable optical and microstructural properties.

2017 ◽  
Vol 70 (8) ◽  
pp. 809-815 ◽  
Author(s):  
Nam-Hoon Kim ◽  
Pil Ju Ko ◽  
Geum-Bae Cho ◽  
Chan Il Park

CrystEngComm ◽  
2018 ◽  
Vol 20 (44) ◽  
pp. 7120-7129 ◽  
Author(s):  
Ahmed Saeed Hassanien ◽  
Alaa A. Akl

The influence of CO2 pulsed laser annealing on microstructural properties and crystal defects of nanocrystalline ZnSe thin films have been studied. X-ray diffraction was utilized to study these issues. Laser annealing led to enhance the film quality and decrease the crystal defects.


1988 ◽  
Vol 27 (Part 2, No. 4) ◽  
pp. L619-L621 ◽  
Author(s):  
Toshiharu Minamikawa ◽  
Yasuto Yonezawa ◽  
Shigeru Otsubo ◽  
Toshihiro Maeda ◽  
Akihiro Moto ◽  
...  

1996 ◽  
Vol 25 (1) ◽  
pp. 3-5 ◽  
Author(s):  
K. Masuda ◽  
K. Murakami ◽  
H. Y. Nan

2000 ◽  
Vol 14 (3) ◽  
pp. 151-158 ◽  
Author(s):  
José Luis Cantero ◽  
Mercedes Atienza

Abstract High-resolution frequency methods were used to describe the spectral and topographic microstructure of human spontaneous alpha activity in the drowsiness (DR) period at sleep onset and during REM sleep. Electroencephalographic (EEG), electrooculographic (EOG), and electromyographic (EMG) measurements were obtained during sleep in 10 healthy volunteer subjects. Spectral microstructure of alpha activity during DR showed a significant maximum power with respect to REM-alpha bursts for the components in the 9.7-10.9 Hz range, whereas REM-alpha bursts reached their maximum statistical differentiation from the sleep onset alpha activity at the components between 7.8 and 8.6 Hz. Furthermore, the maximum energy over occipital regions appeared in a different spectral component in each brain activation state, namely, 10.1 Hz in drowsiness and 8.6 Hz in REM sleep. These results provide quantitative information for differentiating the drowsiness alpha activity and REM-alpha by studying their microstructural properties. On the other hand, these data suggest that the spectral microstructure of alpha activity during sleep onset and REM sleep could be a useful index to implement in automatic classification algorithms in order to improve the differentiation between the two brain states.


1988 ◽  
Vol 49 (C8) ◽  
pp. C8-1325-C8-1326
Author(s):  
P. Sánchez ◽  
M. C. Sánchez ◽  
E. López ◽  
M. García ◽  
C. Aroca

2016 ◽  
Vol 136 (12) ◽  
pp. 493-498 ◽  
Author(s):  
Junko Kazusa ◽  
Kazuhiro Koga ◽  
Norio Umeyama ◽  
Fumito Imura ◽  
Daiji Noda ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document