Journal
JOULE
Volume 4, Issue 8, Pages 1806-1822Publisher
CELL PRESS
DOI: 10.1016/j.joule.2020.06.013
Keywords
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Funding
- Deutsche Forschungsgemeinschaft (DFG) within the Cluster of Excellence Engineering of Advanced Materials [EXC 315]
- German Research Foundation
- Aufbruch Bayern initiative Soltech
- state of Bavaria for the Energy Campus Nuremberg Initiative
- grant ELF-PV Design and development of solution-processed functional materials for the next generations of PV technologies grant by the Bavarian State Government [44-6521a/20/4]
- China Scholarship Council (CSC)
- Erlangen Graduate School in Advanced Optical Technologies (SAOT) at the University of Erlangen-Nurnberg - DFG
- DFG [SFB 953, PN 182849149, INST 90/917-1 FUGG]
- [GRK2495/E]
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Solution-based processing of photovoltaic materials has important advantages, including lower overall costs and easier upscaling of fabrication, where the solvents play an essential role. Antisolvent crystallization technique is often applied to achieve high-quality perovskite materials. However, the basic chemistry of the solvent-antisolvent crystallization is still not well understood. Besides, common antisolvents are toxic, and their number is limited. In this work, a novel robot-based method was used to screen the efficient antisolvents for different solvent perovskite systems. 336 combinations of perovskite-solvent-antisolvent could be prepared and characterized by the integrated robotic platform in 2 days. In addition, we provided a detailed working mechanism of the solvent-antisolvent crystallization approach. Furthermore, hundreds of potential antisolvents were proposed based on high-throughput screening and simulation. Verification tests match well with theory, and all reported antisolvents used for photovoltaic device optimizations are within our predicted range of the Hansen space, indicating that the predictions are reliable.
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