Evidence map›Paper›PMID 31909830›Full record

ArticleJournal of computational chemistry2020

fromage: A library for the study of molecular crystal excited states at the aggregate scale.

Miguel Rivera, Michael Dommett, Amir Sidat, Warda Rahim, Rachel Crespo-Otero

Abstract read
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Article in Journal of computational chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

12 citing papers in PubMed.

  1. Exploring the photophysics of dibenzo[Physical chemistry chemical physics : PCCP · 2026
    Article
  2. Article
  3. The Newton-X platform for mixed quantum-classical dynamics.Physical chemistry chemical physics : PCCP · 2026
    Article
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  5. Article
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  8. Role of Dark States and Stokes Shift Simulations for Tetraphenylpyrazine Compared to Other Donor-Acceptor Photosensitizers.Chemphyschem : a European journal of chemical physics and physical chemistry · 2024
    Article
  9. Review
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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

5 authors.

Miguel RiveraDepartment of Chemistry, School of Biological and Chemical Sciences, Queen Mary University of London, London, UK.ORCID 0000-0003-3699-2403
Michael DommettDepartment of Chemistry, School of Biological and Chemical Sciences, Queen Mary University of London, London, UK.
Amir SidatDepartment of Chemistry, School of Biological and Chemical Sciences, Queen Mary University of London, London, UK.
Warda RahimDepartment of Chemistry, School of Biological and Chemical Sciences, Queen Mary University of London, London, UK.
Rachel Crespo-OteroDepartment of Chemistry, School of Biological and Chemical Sciences, Queen Mary University of London, London, UK.ORCID 0000-0002-8725-5350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of photoexcitations in molecular aggregates faces the twofold problem of the increased computational cost associated with excited states and the complexity of the interactions among the constituent monomers. A mechanistic investigation of these processes requires the analysis of the intermolecular interactions, the effect of the environment, and 3D arrangements or crystal packing on the excited states. A considerable number of techniques have been tailored to navigate these obstacles; however, they are usually restricted to in-house codes and thus require a disproportionate effort to adopt by researchers approaching the field. Herein, we present the FRamewOrk for Molecular AGgregate Excitations (fromage), which implements a collection of such techniques in a Python library complemented with ready-to-use scripts. The program structure is presented and the principal features available to the user are described: geometrical analysis, exciton characterization, and a variety of ONIOM schemes. Each is illustrated by examples of diverse organic molecules in condensed phase settings. The program is available at https://github.com/Crespo-Otero-group/fromage.

Indexed as

excitonmolecular aggregateONIOMphotochemistryPython library

Identifiers

PMID31909830
PMCPMC7079081

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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.