Evidence map›Paper›PMID 35706659›Full record

ArticleRoyal Society open science2022

Emulator-based decomposition for structural sensitivity of core-level spectra.

J Niskanen, A Vladyka, J Niemi, C J Sahle

Abstract read
In one paragraph

Article in Royal Society open science, 2022. 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. Uncertainty Quantification forChemical reviews · 2026
    Review
  2. Structural Sensitivity of N 1s Excitations inThe journal of physical chemistry letters · 2025
    Article
  3. 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.

J NiskanenDepartment of Physics and Astronomy, University of Turku, 20014 Turun yliopisto, Finland.
A VladykaDepartment of Physics and Astronomy, University of Turku, 20014 Turun yliopisto, Finland.ORCID 0000-0003-1770-8139
J NiemiDepartment of Physics and Astronomy, University of Turku, 20014 Turun yliopisto, Finland.
C J SahleEuropean Synchrotron Radiation Source, 71 Avenue des Martyrs, 38000 Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We explore the sensitivity of several core-level spectroscopic methods to the underlying atomistic structure by using the water molecule as our test system. We first define a metric that measures the magnitude of spectral change as a function of the structure, which allows for identifying structural regions with high spectral sensitivity. We then apply machine-learning-emulator-based decomposition of the structural parameter space for maximal explained spectral variance, first on overall spectral profile and then on chosen integrated regions of interest therein. The presented method recovers more spectral variance than partial least-squares fitting and the observed behaviour is well in line with the aforementioned metric for spectral sensitivity. The analysis method is able to independently identify spectroscopically dominant degrees of freedom, and to quantify their effect and significance.

Indexed as

machine learningX-ray absorption spectraX-ray emission spectraX-ray photoelectron spectra

Identifiers

PMID35706659
PMCPMC9174725

What OpenQuestion holds

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LicenceCC BY
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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.