Evidence map›Paper›PMID 41530152›Full record

ArticleNature communications2026

Measuring the molecular origins of stiffness in organic semiconductors.

Ki-Hwan Hwang, Dorothée Brandt, Silvia Cristofaro, Cameron J Nickerson, Federico Modesti, Mindaugas Gicevičius, Mateo T R Cervantes, Martina Volpi, Leszek J Spalek, Luca Muccioli and 7 more

Abstract read
In one paragraph

Article in Nature communications, 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

17 authors.

Ki-Hwan HwangCavendish Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge, United Kingdom. kh826@cam.ac.uk.
Dorothée BrandtLaboratory for Computational Modeling of Functional Materials, Namur Institute of Structured Matter, University of Namur, Namur, Belgium.
Silvia CristofaroLaboratory for Computational Modeling of Functional Materials, Namur Institute of Structured Matter, University of Namur, Namur, Belgium.
Cameron J NickersonDepartment of Physics and Atmospheric Science, Dalhousie University, Halifax, Canada.
Federico ModestiBASF SE, Ludwigshafen am Rhein, Germany.
Mindaugas GicevičiusCavendish Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge, United Kingdom.
Mateo T R CervantesCavendish Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge, United Kingdom.
Martina VolpiLaboratoire de Chimie des Polymères, Faculté des Sciences, Université Libre de Bruxelles (ULB), CP 206/01, Brussels, Belgium.ORCID http://orcid.org/0009-0002-4020-9856
Leszek J SpalekCavendish Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge, United Kingdom.
Luca MuccioliDepartment of Industrial Chemistry "Toso Montanari", University of Bologna, Bologna, Italy.
Per M ClaessonKTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Chemistry, Division of Surface and Corrosion Science, Stockholm, SE-100 44, Sweden.ORCID http://orcid.org/0000-0002-3207-1570
Ljiljana FrukDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, United Kingdom.
Yves GeertsLaboratoire de Chimie des Polymères, Faculté des Sciences, Université Libre de Bruxelles (ULB), CP 206/01, Brussels, Belgium.
Guillaume SchweicherLaboratoire de Chimie des Polymères, Faculté des Sciences, Université Libre de Bruxelles (ULB), CP 206/01, Brussels, Belgium.
Yoann OlivierLaboratory for Computational Modeling of Functional Materials, Namur Institute of Structured Matter, University of Namur, Namur, Belgium.ORCID http://orcid.org/0000-0003-2193-1536
Erin R JohnsonDepartment of Physics and Atmospheric Science, Dalhousie University, Halifax, Canada.
Deepak VenkateshvaranCavendish Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge, United Kingdom. dv246@cam.ac.uk.ORCID http://orcid.org/0000-0002-7099-7323

Funding

RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/Y003225/1Royal Society URF/R1/201590
6 · The paper itself

Abstract

Mechanical properties of organic molecular semiconductors are determined by a combination of chemical structure and solid-state packing. Measurements of nanoscale mechanical properties on molecular surfaces via atomic force microscopy (AFM) are particularly challenging as the very act of probing how stiff these surfaces are may perturb them, making it difficult to discern subtle differences in stiffness arising from changes in molecular composition. This work presents the first direct, experimental demonstration of the tunability in the nanomechanical properties for a family of molecular semiconductors resulting from systematic alkyl sidechain substitution. While such tunability is intuitively expected, it is a subtle effect that is extremely difficult to detect and quantify reliably from nanoscale AFM measurements due to various spurious force contributions operating on such small length scales. Only after identifying and removing these spurious contributions is the underlying molecular-scale tailoring of mechanical properties observable. Confidence in the measured stiffness trend is reinforced through simulations based on density-functional theory (DFT) and molecular dynamics (MD).

Identifiers

PMID41530152
PMCPMC12905142

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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.