Evidence map›Paper›PMID 35815854›Full record

ArticleJournal of computational chemistry2022

Automatized protocol and interface to simulate QM/MM time-resolved transient absorption at TD-DFT level with COBRAMM.

Davide Avagliano, Matteo Bonfanti, Artur Nenov, Marco Garavelli

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2022. 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

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

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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. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Roadmap for Molecular Benchmarks in Nonadiabatic Dynamics.The journal of physical chemistry. A · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. The OpenMolcasJournal of chemical theory and computation · 2023
    Article
  11. Article
  12. 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

4 authors.

Davide AvaglianoDipartimento di Chimica Industriale "Toso Montanari", Università degli Studi di Bologna, Bologna, Italy.ORCID 0000-0001-5539-9731
Matteo BonfantiDipartimento di Chimica Industriale "Toso Montanari", Università degli Studi di Bologna, Bologna, Italy.
Artur NenovDipartimento di Chimica Industriale "Toso Montanari", Università degli Studi di Bologna, Bologna, Italy.ORCID 0000-0003-3071-5341
Marco GaravelliDipartimento di Chimica Industriale "Toso Montanari", Università degli Studi di Bologna, Bologna, Italy.ORCID 0000-0002-0796-289X

Funding

European Union's Horizon 2020 814492
6 · The paper itself

Abstract

We present a series of new implementations that we recently introduced in COBRAMM, the open-source academic software developed in our group. The goal of these implementations is to offer an automatized workflow and interface to simulate time-resolved transient absorption (TA) spectra of medium-to-big chromophore embedded in a complex environment. Therefore, the excited states absorption and the stimulated emission are simulated along nonadiabatic dynamics performed with trajectory surface hopping. The possibility of treating systems from medium to big size is given by the use of time-dependent density functional theory (TD-DFT) and the presence of the environment is taken into account employing a hybrid quantum mechanics/molecular mechanics (QM/MM) scheme. The full implementation includes a series of auxiliary scripts to properly setup the QM/MM system, the calculation of the wavefunction overlap along the dynamics for the propagation, the evaluation of the transition dipole moment at linear response TD-DFT level, and scripts to setup, run and analyze the TA from an ensemble of trajectories. Altogether, we believe that our implementation will open the door to the easily simulate the time-resolved TA of systems so far computationally inaccessible.

Indexed as

Molecular Dynamics SimulationQuantum TheoryDensity Functional TheoryQM/MMTD-DFTtrajectory surface hoppingtransient absorptionultrafast spectroscopy

Identifiers

PMID35815854
PMCPMC9544370

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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.