Evidence map›Paper›PMID 40686386›Full record

ArticleACS nano2025

Vibronically Coherent Exciton Trapping in Monolayer WS

Yorrick Boeije, Anh Tuan Hoang, Juhwan Lim, Samuel D Stranks, Manish Chhowalla, Eric Pop, Andrew J Mannix, Akshay Rao

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Article in ACS nano, 2025. 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

8 authors.

Yorrick BoeijeDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.ORCID 0000-0002-4346-3123
Anh Tuan HoangDepartment of Materials Science & Engineering, Stanford University, Stanford, California 94305, United States.ORCID 0000-0003-0911-1391
Juhwan LimDepartment of Physics, Cavendish Laboratory, University of Cambridge; Cambridge CB3 0HE, U.K.
Samuel D StranksDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.ORCID 0000-0002-8303-7292
Manish ChhowallaDepartment of Materials Science & Metallurgy, University of Cambridge; Cambridge CB3 0FS, U.K.ORCID 0000-0002-8183-4044
Eric PopDepartment of Materials Science & Engineering, Stanford University, Stanford, California 94305, United States.ORCID 0000-0003-0436-8534
Andrew J MannixDepartment of Materials Science & Engineering, Stanford University, Stanford, California 94305, United States.ORCID 0000-0003-4788-1506
Akshay RaoDepartment of Physics, Cavendish Laboratory, University of Cambridge; Cambridge CB3 0HE, U.K.ORCID 0000-0003-4261-0766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Defect engineering in transition metal dichalcogenide (TMD) monolayers enables applications in single-photon emission, sensing, and photocatalysis. These functionalities critically depend on defect type, density, spatial distribution, relative energy, and the dynamics of exciton trapping at the defect sites. The latter are mediated by coupling to optical phonons through mechanisms not yet fully understood. Traditionally, exciton or carrier trapping at defects in inorganic crystals has been described by incoherent multiphonon emission within the Born-Oppenheimer approximation─an approach that underpins the widely used Shockley-Read-Hall framework for nonradiative recombination. Here, we use impulsive vibrational spectroscopy to investigate exciton trapping in defect-modified monolayers of WS

Indexed as

conical intersectionsdefect engineeringdefect photophysicsexciton−phonon couplingexciton trappingtransition metal dichalcogenide defectsvibronic coherence

Identifiers

PMID40686386
PMCPMC12312154

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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.