Tunable Solid‐State Properties and Anisotropic Charge Mobility in Hydrogen‐Bonded Diketopyrrolopyrrole Polymers via Automated Device Fabrication and Characterization

Author:

Nyayachavadi Audithya12,Wang Chengshi2,Vriza Aikaterini2,Wang Yunfei3,Ma Guorong3,Mooney Madison1,Mason Gage T.1,Hu Anita1,Liu Yuzi2,Gu Xiaodan3,Chan Henry2,Xu Jie24,Rondeau‐Gagné Simon1ORCID

Affiliation:

1. Department of Chemistry and Biochemistry University of Windsor Windsor Ontario N9B 3P4 Canada

2. Nanoscience and Technology Division Argonne National Laboratory Lemont IL 60439 USA

3. School of Polymer Science and Engineering The University of Southern Mississippi Hattiesburg MS 39406 USA

4. Pritzker School of Molecular Engineering The University of Chicago Chicago Illinois 60637 United States

Abstract

AbstractThe optoelectronic properties of semiconducting polymers and device performance rely on a delicate interplay of design and processing conditions. However, screening and optimizing the relationships between these parameters for reliably fabricating organic electronics can be an arduous task requiring significant time and resources. To overcome this challenge, Polybot is developed—a robotic platform within a self‐driving lab that can efficiently produce organic field‐effect transistors (OFETs) from various semiconducting polymers via high‐throughput blade coating deposition. Polybot not only handles the fabrication process but also can conduct characterization tests on the devices and autonomously analyze the data gathered, thus facilitating the rapid acquisition of data on a large scale. This work leverages the capabilities of this platform to investigate the fabrication of OFETs using hydrogen bonding‐containing semiconducting polymers. Through high‐throughput fabrication and characterization, various data trends are analyzed, and large extents of anisotropic charge mobility are observed in devices. The materials are thoroughly characterized to understand the role of processing conditions in solid state and electronic properties of these organic semiconductors. The findings demonstrate the effectiveness of automated fabrication and characterization platforms in uncovering novel structure–property relationships, facilitating refinement of rational chemical design, and processing conditions, ultimately leading to new semiconducting materials.

Funder

Natural Sciences and Engineering Research Council of Canada

National Science Foundation

Publisher

Wiley

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