Evidence map›Paper›PMID 42255559›Full record

ArticleACS omega2026

Single-Atom Tuning of Structural and Optoelectronic Properties in Halogenated Anthracene-Based Covalent Organic Frameworks.

Klaudija Paliušytė, Laura Fuchs, Zehua Xu, Kuangjie Liu, Kornel Roztocki, Shuo Sun, Hendrik Zipse, Achim Hartschuh, Frank Ortmann, Jenny Schneider

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Klaudija PaliušytėDepartment of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Munich 81377, Germany.ORCID https://orcid.org/0009-0002-4710-9487
Laura FuchsDepartment of Chemistry, TUM School of Natural Sciences and Atomistic Modeling Center, Munich Data Science Institute, Technische Universität München, Garching bei München 85748, Germany.
Zehua XuDepartment of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Munich 81377, Germany.
Kuangjie LiuDepartment of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Munich 81377, Germany.ORCID https://orcid.org/0009-0005-0663-8202
Kornel RoztockiFaculty of Chemistry, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8, Poznań 61-614, Poland.ORCID https://orcid.org/0000-0001-7102-9802
Shuo SunDepartment of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Munich 81377, Germany.
Hendrik ZipseDepartment of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Munich 81377, Germany.ORCID https://orcid.org/0000-0002-0534-3585
Achim HartschuhDepartment of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Munich 81377, Germany.
Frank OrtmannDepartment of Chemistry, TUM School of Natural Sciences and Atomistic Modeling Center, Munich Data Science Institute, Technische Universität München, Garching bei München 85748, Germany.ORCID https://orcid.org/0000-0002-5884-5749
Jenny SchneiderDepartment of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Munich 81377, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Strategies for tuning structural and (opto-)-electronic properties are fundamental to the rational design of functional materials. Here, we present a molecular-design approach that enables precise modulation of the optoelectronic properties of covalent organic frameworks (COFs) through single-atom halogen substitution on π-extended anthracene linkers. Using a Wurster-type tetratopic amine (W-NH

Identifiers

PMID42255559
PMCPMC13234796

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.