化学
分子
吞吐量
小分子
纳米技术
结晶度
再结晶(地质)
表征(材料科学)
半导体
溶解度
组合化学
有机化学
计算机科学
材料科学
光电子学
古生物学
生物
电信
生物化学
无线
结晶学
作者
Jianchang Wu,Jiyun Zhang,Manman Hu,Patrick Reiser,Luca Torresi,Pascal Friederich,Leopold Lahn,Olga Kasian,Dirk M. Guldi,M. Eugenia Pérez‐Ojeda,Anastasia Barabash,Juan S. Rocha‐Ortiz,Yicheng Zhao,Zhiqiang Xie,Junsheng Luo,Yunuo Wang,Sang Il Seok,Jens Hauch,Christoph J. Brabec
摘要
High-throughput synthesis of solution-processable structurally variable small-molecule semiconductors is both an opportunity and a challenge. A large number of diverse molecules provide a possibility for quick material discovery and machine learning based on experimental data. However, the diversity of the molecular structure leads to the complexity of molecular properties, such as solubility, polarity, and crystallinity, which poses great challenges to solution processing and purification. Here, we first report an integrated system for the high-throughput synthesis, purification, and characterization of molecules with a large variety. Based on the principle "Like dissolves like," we combine theoretical calculations and a robotic platform to accelerate the purification of those molecules. With this platform, a material library containing 125 molecules and their optical-electronic properties was built within a timeframe of weeks. More importantly, the high repeatability of recrystallization we design is a reliable approach to further upgrading and industrial production.
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