Data Science Guided Experiments Identify Conjugated Polymer Solution Concentration as a Key Parameter in Device Performance
Data Science Guided Experiments Identify Conjugated Polymer Solution Concentration as a Key Parameter in Device Performance
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DOI:
10.1021/acsmaterialslett.1c00320
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发表时间:
2021-09
影响因子:
11.4
通讯作者:
R. Venkatesh;Yulong Zheng;Campbell Viersen;Aaron L. Liu;Carlos Silva;M. Grover;E. Reichmanis
中科院分区:
文献类型:
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作者:
R. Venkatesh;Yulong Zheng;Campbell Viersen;Aaron L. Liu;Carlos Silva;M. Grover;E. Reichmanis
Curating and analyzing centralized data repositories is a valuable approach in resolving the issue of reproducibility, gaining new insights and guiding future experiments, especially in the field of nanomaterials research. In this work, a data set containing processing information and mobility values of 115 DPP-DTT-based organic field effect transistors (OFET) was constructed from 15 publications. A customized classification algorithm was applied to the data set to help identify a reduced design region for polymer solution concentration that would be more likely to result in improved hole mobility. Experiments performed to confirm the insights from the data curation exercise revealed a strong influence of solution concentration on the polymer chain excitonic interactions and electronic performance. Devices fabricated at the critical chain overlap concentration of 5 g/L in chlorobenzene resulted in improved hole mobility, and were in good agreement with the insights provided by the classification algorithm.