Evidence map›Paper›PMID 39266582›Full record

ArticleNature communications2024

Super-resolution techniques to simulate electronic spectra of large molecular systems.

Matthias Kick, Ezra Alexander, Anton Beiersdorfer, Troy Van Voorhis

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Chemical Interpretation of Time-Dependent Coupled-Cluster Theory.The journal of physical chemistry. A · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Development of Real-Time TDDFT Program withJournal 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

4 authors.

Matthias KickDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA. mkick@mit.edu.ORCID http://orcid.org/0000-0003-3408-9886
Ezra AlexanderDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
Anton BeiersdorferTechnical University of Munich, Garching, Germany.
Troy Van VoorhisDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7111-0176

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) KI 2558/1-1National Science Foundation (NSF) CHE-2154938
6 · The paper itself

Abstract

An accurate treatment of electronic spectra in large systems with a technique such as time-dependent density functional theory is computationally challenging. Due to the Nyquist sampling theorem, direct real-time simulations must be prohibitively long to achieve suitably sharp resolution in frequency space. Super-resolution techniques such as compressed sensing and MUSIC assume only a small number of excitations contribute to the spectrum, which fails in large molecular systems where the number of excitations is typically very large. We present an approach that combines exact short-time dynamics with approximate frequency space methods to capture large narrow features embedded in a dense manifold of smaller nearby peaks. We show that our approach can accurately capture narrow features and a broad quasi-continuum of states simultaneously, even when the features overlap in frequency. Our approach is able to reduce the required simulation time to achieve reasonable accuracy by a factor of 20-40 with respect to standard Fourier analysis and shows promise for accurately predicting the whole spectrum of large molecules and materials.

Identifiers

PMID39266582
PMCPMC11393058

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Registered trials

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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.