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Using automated synthesis to understand the role of side chains on molecular charge transport
The development of next-generation organic electronic materials critically relies on understanding structure-function relationships in conjugated polymers. However, unlocking the full potential of organic materials requires access to their vast chemical space while efficiently managing the large syn...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019014/ https://www.ncbi.nlm.nih.gov/pubmed/35440635 http://dx.doi.org/10.1038/s41467-022-29796-2 |
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author | Li, Songsong Jira, Edward R. Angello, Nicholas H. Li, Jialing Yu, Hao Moore, Jeffrey S. Diao, Ying Burke, Martin D. Schroeder, Charles M. |
author_facet | Li, Songsong Jira, Edward R. Angello, Nicholas H. Li, Jialing Yu, Hao Moore, Jeffrey S. Diao, Ying Burke, Martin D. Schroeder, Charles M. |
author_sort | Li, Songsong |
collection | PubMed |
description | The development of next-generation organic electronic materials critically relies on understanding structure-function relationships in conjugated polymers. However, unlocking the full potential of organic materials requires access to their vast chemical space while efficiently managing the large synthetic workload to survey new materials. In this work, we use automated synthesis to prepare a library of conjugated oligomers with systematically varied side chain composition followed by single-molecule characterization of charge transport. Our results show that molecular junctions with long alkyl side chains exhibit a concentration-dependent bimodal conductance with an unexpectedly high conductance state that arises due to surface adsorption and backbone planarization, which is supported by a series of control experiments using asymmetric, planarized, and sterically hindered molecules. Density functional theory simulations and experiments using different anchors and alkoxy side chains highlight the role of side chain chemistry on charge transport. Overall, this work opens new avenues for using automated synthesis for the development and understanding of organic electronic materials. |
format | Online Article Text |
id | pubmed-9019014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90190142022-04-28 Using automated synthesis to understand the role of side chains on molecular charge transport Li, Songsong Jira, Edward R. Angello, Nicholas H. Li, Jialing Yu, Hao Moore, Jeffrey S. Diao, Ying Burke, Martin D. Schroeder, Charles M. Nat Commun Article The development of next-generation organic electronic materials critically relies on understanding structure-function relationships in conjugated polymers. However, unlocking the full potential of organic materials requires access to their vast chemical space while efficiently managing the large synthetic workload to survey new materials. In this work, we use automated synthesis to prepare a library of conjugated oligomers with systematically varied side chain composition followed by single-molecule characterization of charge transport. Our results show that molecular junctions with long alkyl side chains exhibit a concentration-dependent bimodal conductance with an unexpectedly high conductance state that arises due to surface adsorption and backbone planarization, which is supported by a series of control experiments using asymmetric, planarized, and sterically hindered molecules. Density functional theory simulations and experiments using different anchors and alkoxy side chains highlight the role of side chain chemistry on charge transport. Overall, this work opens new avenues for using automated synthesis for the development and understanding of organic electronic materials. Nature Publishing Group UK 2022-04-19 /pmc/articles/PMC9019014/ /pubmed/35440635 http://dx.doi.org/10.1038/s41467-022-29796-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Songsong Jira, Edward R. Angello, Nicholas H. Li, Jialing Yu, Hao Moore, Jeffrey S. Diao, Ying Burke, Martin D. Schroeder, Charles M. Using automated synthesis to understand the role of side chains on molecular charge transport |
title | Using automated synthesis to understand the role of side chains on molecular charge transport |
title_full | Using automated synthesis to understand the role of side chains on molecular charge transport |
title_fullStr | Using automated synthesis to understand the role of side chains on molecular charge transport |
title_full_unstemmed | Using automated synthesis to understand the role of side chains on molecular charge transport |
title_short | Using automated synthesis to understand the role of side chains on molecular charge transport |
title_sort | using automated synthesis to understand the role of side chains on molecular charge transport |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019014/ https://www.ncbi.nlm.nih.gov/pubmed/35440635 http://dx.doi.org/10.1038/s41467-022-29796-2 |
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