scholarly journals High Efficiency, Low Power-Consumption DFB Quantum Cascade Lasers Without Lateral Regrowth

2017 ◽  
Vol 12 (1) ◽  
Author(s):  
Zhi-Wei Jia ◽  
Li-Jun Wang ◽  
Jin-Chuan Zhang ◽  
Feng-Qi Liu ◽  
Yu-Hong Zhou ◽  
...  
2015 ◽  
Vol 27 (22) ◽  
pp. 2335-2338 ◽  
Author(s):  
Yinghui Liu ◽  
Jinchuan Zhang ◽  
Zhiwei Jia ◽  
Danyang Yao ◽  
Fengqi Liu ◽  
...  

2015 ◽  
Author(s):  
Tsukuru Katsuyama ◽  
Jun-ichi Hashimoto ◽  
Hiroyuki Yoshinaga ◽  
Hiroki Mori ◽  
Yukihiro Tsuji ◽  
...  

2017 ◽  
Vol 12 (1) ◽  
Author(s):  
Chuan-Wei Liu ◽  
Jin-Chuan Zhang ◽  
Zhi-Wei Jia ◽  
Ning Zhuo ◽  
Shen-Qiang Zhai ◽  
...  

2016 ◽  
Vol 124 ◽  
pp. 42-45
Author(s):  
Zhiwei Jia ◽  
Lijun Wang ◽  
Jinchuan Zhang ◽  
Fengqi Liu ◽  
Ning Zhuo ◽  
...  

2011 ◽  
Vol 109 (5) ◽  
pp. 053103 ◽  
Author(s):  
Y. Bai ◽  
S. R. Darvish ◽  
N. Bandyopadhyay ◽  
S. Slivken ◽  
M. Razeghi

Computation ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 39 ◽  
Author(s):  
Varadarajan Rengaraj ◽  
Michael Lass ◽  
Christian Plessl ◽  
Thomas D. Kühne

In scientific computing, the acceleration of atomistic computer simulations by means of custom hardware is finding ever-growing application. A major limitation, however, is that the high efficiency in terms of performance and low power consumption entails the massive usage of low precision computing units. Here, based on the approximate computing paradigm, we present an algorithmic method to compensate for numerical inaccuracies due to low accuracy arithmetic operations rigorously, yet still obtaining exact expectation values using a properly modified Langevin-type equation.


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