Evidence map›Paper›PMID 40117354›Full record

ArticleScience advances2025

Ultrafast energy transfer beyond the Förster approximation in organic photovoltaic blends with non-fullerene acceptors.

Yanni Ouyang, Rui Wang, Xiaoyong Wang, Min Xiao, Chunfeng Zhang

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Yanni OuyangNational Laboratory of Solid-State Microstructures, School of Physics, Collaborative Innovation Center for Advanced Microstructures, and Nanjing Drum Tower Hospital, Nanjing University, Nanjing 210093, China.ORCID 0009-0008-8924-6838
Rui WangNational Laboratory of Solid-State Microstructures, School of Physics, Collaborative Innovation Center for Advanced Microstructures, and Nanjing Drum Tower Hospital, Nanjing University, Nanjing 210093, China.ORCID 0000-0002-0670-4207
Xiaoyong WangNational Laboratory of Solid-State Microstructures, School of Physics, Collaborative Innovation Center for Advanced Microstructures, and Nanjing Drum Tower Hospital, Nanjing University, Nanjing 210093, China.ORCID 0000-0003-1147-0051
Min XiaoNational Laboratory of Solid-State Microstructures, School of Physics, Collaborative Innovation Center for Advanced Microstructures, and Nanjing Drum Tower Hospital, Nanjing University, Nanjing 210093, China.ORCID 0000-0002-0718-9518
Chunfeng ZhangNational Laboratory of Solid-State Microstructures, School of Physics, Collaborative Innovation Center for Advanced Microstructures, and Nanjing Drum Tower Hospital, Nanjing University, Nanjing 210093, China.ORCID 0000-0001-9030-5606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies on organic photovoltaic (OPV) systems have highlighted the critical role of energy transfer in excited-state dynamics. This process has traditionally been explained through the model of long-range Förster resonance energy transfer (FRET). In this study, we demonstrate a donor-to-acceptor short-range energy transfer (SRET) mechanism in OPV blends with non-fullerene acceptors, extending beyond the Förster approximation. This SRET occurs as a two-step process mediated by interfacial excitations with mixed charge-transfer and local excitation features. We further validate this model through studies on planar heterojunctions, precisely controlling the thickness of interlayers. These findings underscore the short-range interactions in regulating the donor-to-acceptor energy transfer in OPV blends, suggesting that SRET should be considered alongside FRET and charge-transfer processes for device optimizations.

Identifiers

PMID40117354
PMCPMC11927626

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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.