Evidence map›Paper›PMID 40374563›Full record

ArticleJournal of chemical theory and computation2025

Computing Excited States of Molecules Using Normalizing Flows.

Yahya Saleh, Álvaro Fernández Corral, Emil Vogt, Armin Iske, Jochen Küpper, Andrey Yachmenev

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Adaptive Vibrational CoordinatesJournal of chemical theory and computation · 2026
    Article
  2. Unveiling hidden intermediate states in protein folding with AI-based conditional transition clustering.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Computing Excited States of Molecules Using Normalizing Flows.Journal of chemical theory and computation · 2025
    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

6 authors.

Yahya SalehDepartment of Mathematics, Universität Hamburg, Bundesstr. 55, 20146 Hamburg, Germany.ORCID 0000-0002-3235-217X
Álvaro Fernández CorralDeutsches Elektronen-Synchrotron DESY, Center for Free-Electron Laser Science CFEL, Notkestr. 85, 22607 Hamburg, Germany.ORCID 0009-0009-5727-5578
Emil VogtDeutsches Elektronen-Synchrotron DESY, Center for Free-Electron Laser Science CFEL, Notkestr. 85, 22607 Hamburg, Germany.ORCID 0000-0003-3335-9813
Armin IskeDepartment of Mathematics, Universität Hamburg, Bundesstr. 55, 20146 Hamburg, Germany.
Jochen KüpperDeutsches Elektronen-Synchrotron DESY, Center for Free-Electron Laser Science CFEL, Notkestr. 85, 22607 Hamburg, Germany.ORCID 0000-0003-4395-9345
Andrey YachmenevDeutsches Elektronen-Synchrotron DESY, Center for Free-Electron Laser Science CFEL, Notkestr. 85, 22607 Hamburg, Germany.ORCID 0000-0001-8770-6919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Calculations of highly excited and delocalized molecular vibrational states are computationally challenging tasks, which strongly depend on the choice of coordinates for describing vibrational motions. We introduce a new method that leverages normalizing flows, i.e, parametrized invertible functions, to learn optimal vibrational coordinates that satisfy the variational principle. This approach produces coordinates tailored to the vibrational problem at hand, significantly increasing the accuracy and enhancing the basis set convergence of the calculated energy spectrum. The efficiency of the method is demonstrated in calculations of the 100 lowest excited vibrational states of H

Identifiers

PMID40374563
PMCPMC12120919

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.