Direct Imprinting of Laser Field on Halide Perovskite Single Crystal for Advanced Photonic Applications

2021 ◽  
pp. 2100094
Author(s):  
A. Y. Zhizhchenko ◽  
A. B. Cherepakhin ◽  
M. A. Masharin ◽  
A. P. Pushkarev ◽  
S. A. Kulinich ◽  
...  
2020 ◽  
Author(s):  
Yuan Chen ◽  
Haibo Zeng ◽  
Peipei Ma ◽  
Gaoyuan Chen ◽  
Jie Jian ◽  
...  

2021 ◽  
Vol 33 (8) ◽  
pp. 2006010
Author(s):  
Yucheng Liu ◽  
Yunxia Zhang ◽  
Xuejie Zhu ◽  
Jiangshan Feng ◽  
Ioannis Spanopoulos ◽  
...  

2021 ◽  
Author(s):  
Weijun Li ◽  
Huayang Li ◽  
Jinmei Song ◽  
Chunjie Guo ◽  
Huimao Zhang ◽  
...  

2021 ◽  
pp. 2112277
Author(s):  
Rajesh Kumar Ulaganathan ◽  
Raghavan Chinnambedu Murugesan ◽  
Chang‐Yu Lin ◽  
Ambika Subramanian ◽  
Wei‐Liang Chen ◽  
...  

2022 ◽  
pp. 2100980
Author(s):  
Wenxiu Gao ◽  
Zhuolei Zhang ◽  
Rukai Xu ◽  
Emory M. Chan ◽  
Guoliang Yuan ◽  
...  

2021 ◽  
Vol 103 (8) ◽  
Author(s):  
Yoshihiro Ogawa ◽  
Hirokazu Tahara ◽  
Nanako Igarashi ◽  
Yasuhiro Yamada ◽  
Yoshihiko Kanemitsu

2016 ◽  
Vol 4 (3) ◽  
pp. 630-636 ◽  
Author(s):  
Huajing Fang ◽  
Qiang Li ◽  
Jie Ding ◽  
Nan Li ◽  
He Tian ◽  
...  

The integration of a CH3NH3PbI3 single crystal photodetector with a TENG leads to a self-powered photodetector with a large responsivity and a wide detection range.


2019 ◽  
Author(s):  
Zhi Li ◽  
Mansoor Ani Najeeb ◽  
Liana Alves ◽  
Alyssa Sherman ◽  
Peter Cruz Parrilla ◽  
...  

Metal halide perovskites are a promising class of materials for next-generation photovoltaic and optoelectronic devices. The discovery and full characterization of new perovskite-derived materials are limited by the difficulty of growing high quality crystals needed for single-crystal X-ray diffraction studies. We present the first automated, high-throughput approach for metal halide perovskite single crystal discovery based on inverse temperature crystallization (ITC) as a means to rapidly identify and optimize synthesis conditions for the formation of high quality single crystals. Using this automated approach, a total of 1928 metal halide perovskite synthesis reactions were conducted using six organic ammonium cations (methylammonium, ethylammonium, n-butylammonium, formamidinium, guanidinium, and acetamidinium), increasing the number of metal halide perovskite materials accessible by ITC syntheses by three and resulting in the formation of a new phase, [C<sub>2</sub>H<sub>7</sub>N<sub>2</sub>][PbI<sub>3</sub>]. This comprehensive dataset allows for a statistical quantification of the total experimental space and of the likelihood of large single crystal formation. Moreover, this dataset enables the construction and evaluation of machine learning models for predicting crystal formation conditions. This work is a proof-of-concept that combining high throughput experimentation and machine learning accelerates and enhances the study of metal halide perovskite crystallization. This approach is designed to be generalizable to different synthetic routes for the acceleration of materials discovery.


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