An integrated system built for small-molecule semiconductors via high-throughput approaches
Abstract
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 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 of 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-electric 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.
Cite
@article{arxiv.2305.07867,
title = {An integrated system built for small-molecule semiconductors via high-throughput approaches},
author = {Jianchang Wu and Jiyun Zhang and Manman Hu and Patrick Reiser and Luca Torresi and Pascal Friederich and Leopold Lahn and Olga Kasian and Dirk M. Guldi and M. Eugenia Pérez-Ojeda and Anastasia Barabash and Juan S. Rocha-Ortiz and Yicheng Zhao and Zhiqiang Xie and Junsheng Luo and Yunuo Wang and Sang Il Seok and Jens A. Hauch and Christoph J. Brabec},
journal= {arXiv preprint arXiv:2305.07867},
year = {2023}
}
Comments
18 pages, 5 figures