Mapping the structure-function landscape of semiconducting polymers Article Swipe
Hesam Makki
,
Colm Burke
,
Christian B. Nielsen
,
Alessandro Troisi
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1039/d5mh00485c
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1039/d5mh00485c
High-throughput analysis of 100+ semiconducting polymers reveals key structure–property links, with planarity L pp , coupling β , and dipole moment μ as top charge transport predictors. ML accelerates discovery by using these critical features.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1039/d5mh00485c
- https://pubs.rsc.org/en/content/articlepdf/2025/mh/d5mh00485c
- OA Status
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All OpenAlex metadata
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https://doi.org/10.1039/d5mh00485cDigital Object Identifier
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Mapping the structure-function landscape of semiconducting polymersWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
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Hesam Makki, Colm Burke, Christian B. Nielsen, Alessandro TroisiList of authors in order
- Landing page
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https://doi.org/10.1039/d5mh00485cPublisher landing page
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https://pubs.rsc.org/en/content/articlepdf/2025/mh/d5mh00485cDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://pubs.rsc.org/en/content/articlepdf/2025/mh/d5mh00485cDirect OA link when available
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Structure function, Materials science, Polymer, Function (biology), Nanotechnology, Business, Composite material, Physics, Evolutionary biology, Biology, Particle physicsTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.reveals | 6 |
| abstract_inverted_index.analysis | 1 |
| abstract_inverted_index.coupling | 15 |
| abstract_inverted_index.critical | 33 |
| abstract_inverted_index.polymers | 5 |
| abstract_inverted_index.discovery | 29 |
| abstract_inverted_index.features. | 34 |
| abstract_inverted_index.planarity | 11 |
| abstract_inverted_index.transport | 25 |
| abstract_inverted_index.accelerates | 28 |
| abstract_inverted_index.predictors. | 26 |
| abstract_inverted_index.semiconducting | 4 |
| abstract_inverted_index.High-throughput | 0 |
| abstract_inverted_index.structure–property | 8 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.90592284 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |