Evidence map›Paper›PMID 36480770›Full record

ArticleJournal of chemical theory and computation2023

Theoretical Approach for Electron Dynamics and Ultrafast Spectroscopy (EDUS).

Giovanni Cistaro, Mikhail Malakhov, Juan José Esteve-Paredes, Alejandro José Uría-Álvarez, Rui E F Silva, Fernando Martín, Juan José Palacios, Antonio Picón

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. An exciting Approach to Theoretical Spectroscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

8 authors.

Giovanni CistaroDepartamento de Química, Universidad Autónoma de Madrid, 28049Madrid, Spain.ORCID 0000-0002-5340-9200
Mikhail MalakhovDepartamento de Química, Universidad Autónoma de Madrid, 28049Madrid, Spain.ORCID 0000-0003-2910-2003
Juan José Esteve-ParedesDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, 28049Madrid, Spain.
Alejandro José Uría-ÁlvarezDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, 28049Madrid, Spain.
Rui E F SilvaInstituto de Ciencia de Materiales de Madrid (ICMM), Consejo Superior de Investigaciones Científicas (CSIC), Sor Juana Inés de la Cruz 3, 28049Madrid, Spain.ORCID 0000-0002-1920-5861
Fernando MartínDepartamento de Química, Universidad Autónoma de Madrid, 28049Madrid, Spain.ORCID 0000-0002-7529-925X
Juan José PalaciosDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, 28049Madrid, Spain.
Antonio PicónDepartamento de Química, Universidad Autónoma de Madrid, 28049Madrid, Spain.ORCID 0000-0002-6142-3440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this manuscript, we present a theoretical framework and its numerical implementation to simulate the out-of-equilibrium electron dynamics induced by the interaction of ultrashort laser pulses in condensed-matter systems. Our approach is based on evolving in real time the density matrix of the system in reciprocal space. It considers excitonic and nonperturbative light-matter interactions. We show some relevant examples that illustrate the efficiency and flexibility of the approach to describe realistic ultrafast spectroscopy experiments. Our approach is suitable for modeling the promising and emerging ultrafast studies at the attosecond time scale that aim at capturing the electron dynamics and the dynamical electron-electron correlations via X-ray absorption spectroscopy.

Identifiers

PMID36480770
PMCPMC9835834

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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.