瓶颈
材料科学
吞吐量
光伏系统
临界性
制作
数码产品
铅(地质)
可重用性
钙钛矿(结构)
理论(学习稳定性)
计算机科学
工艺工程
纳米技术
工程物理
系统工程
嵌入式系统
工程类
电气工程
病理
机器学习
医学
电信
核物理学
物理
程序设计语言
地质学
替代医学
无线
化学工程
软件
地貌学
作者
Julian Gebhardt,Andrea Gassmann,Wei Wei,Anke Weidenkaff,Christian Elsässer
标识
DOI:10.1016/j.matdes.2023.112324
摘要
To cover future green energy needs, new absorber materials must augment silicon in the established photovoltaic (PV) technology. (Hybrid) perovskites emerged as materials for this purpose, but are often plagued by long-term stability issues and contain elements that are critical with respect to health or material availability. Identifying stable materials, which reach equally high PV performance as the best of their class and do not contain any critical element, remains vital. This quest requires material research, fabrication and optimization of devices, and assessing upscaling and industrialization, all while taking material sustainability into account. Material screening is efficiently treated by high-throughput electronic-structure calculations. However, available data sets are very heterogeneous. This hinders comparability and limits the insight gained. An in-depth discussion of material criticality is missing in nearly all such studies. We intend to overcome this bottleneck by curating the available data from computational high-throughput studies. We structure and filter these data sets with respect to i) calculated stability and electronic properties, ii) criticality assessment, and iii) target device. The created data base is a tool that facilitates the design of the next generation of PV devices.
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