device optimization
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2021 ◽  
Author(s):  
Toshiya Tadakuma ◽  
SeongHong Lim ◽  
Koichi Nishi ◽  
Michael Rogers ◽  
Motonobu Joko ◽  
...  

Author(s):  
Yousaf Hameed Khattak ◽  
Faisal Baig ◽  
Ahmed Shuja ◽  
Lahoucine Atourki ◽  
Kashif Riaz ◽  
...  

2021 ◽  
Vol 52 (S1) ◽  
pp. 71-71
Author(s):  
Zhibin Wang ◽  
Yilu Chang ◽  
Qi Wang ◽  
Yingjie Zhang ◽  
Jacky Qiu ◽  
...  

Author(s):  
Yan Wang ◽  
Yi Zhang ◽  
Tong Shan ◽  
Qingyun Wei ◽  
Zhenchuang Xu ◽  
...  

To facilitate the device optimization of organic solar cells, a conjugated macrocycle namely cyanostar is firstly utilized to simultaneously modify the active layer and hole transporting layer. Benefiting from the...


Author(s):  
Pilar Lopez-Varo ◽  
Mohamed Amara ◽  
Stefania Cacovich ◽  
Arthur Julien ◽  
Armelle Yaïche ◽  
...  

Understanding the influence of the temperature on the performance of perovskite solar cells (PSCs) is essential for device optimization and for improving the stability of devices in outdoor conditions.


Author(s):  
Xabier Rodríguez-Martínez ◽  
Enrique Pascual-San-José ◽  
Mariano Campoy-Quiles

This review article presents the state-of-the-art in high-throughput computational and experimental screening routines with application in organic solar cells, including materials discovery, device optimization and machine-learning algorithms.


Author(s):  
Yichuan Si ◽  
Yuan Xie ◽  
Sha Liu ◽  
Quanbin Liang ◽  
Hongbin Wu

Revealing the microscopic origin of the unstable nature in organic solar cells (OSCs) is a key issue for further device optimization. Here, we identify that the light-soaking process seen in...


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