Evidence map›Paper›PMID 39935516›Full record

ArticleChem2024

Dynamic Vertical Triplet Energies: Understanding and Predicting Triplet Energy Transfer.

Mihai V Popescu, Robert S Paton

Abstract read
In one paragraph

Article in Chem, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

2 authors.

Mihai V PopescuDepartment of Chemistry, Colorado State University, Ft. Collins, Colorado 80523-1872, United States.
Robert S PatonDepartment of Chemistry, Colorado State University, Ft. Collins, Colorado 80523-1872, United States.

Funding

Computational Models for New Developments in Radical ChemistryR01GM151533 · NIGMS · COLORADO STATE UNIVERSITY · PI Robert Scott Paton · 2023 to 2026
$1.2M
NIGMS NIH HHS R01 GM151533
6 · The paper itself

Abstract

A computational approach for modeling and predicting triplet energy sensitization of organic molecules is described, which involves sampling the instantaneous, vertical energy gaps over molecular vibrational motions. This approach provides new theoretical support for the hot-band mechanism of energy transfer, in which the energy difference between donor and acceptor can be lessened by geometric distortions. We demonstrate excellent predictive performance against experimental triplet energies, with R

Indexed as

Computational ModellingDensity Functional TheoryPhotochemistryQuasiclassical Molecular DynamicsSensitizationTriplet Energy

Identifiers

PMID39935516
PMCPMC11810125

What OpenQuestion holds

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Registered trials

None linked

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.