Evidence map›Paper›PMID 29875506›Full record

ArticleJournal of applied crystallography2018

Inverse Transformation: Unleashing Spatially Heterogeneous Dynamics with an Alternative Approach to XPCS Data Analysis.

Ross N Andrews, Suresh Narayanan, Fan Zhang, Ivan Kuzmenko, Jan Ilavsky

Open access · greenAbstract read
In one paragraph

Article in Journal of applied crystallography, 2018. 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
0.8field-weighted citation impact, top 30% of its field
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, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Investigation of the yielding transition in concentrated colloidal systems via rheo-XPCS.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. 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

5 authors at 2 institutions in 1 country.

Ross N AndrewsAdvanced Photon Source, Argonne National Laboratory, Argonne, IL 60559, USA.
Suresh NarayananAdvanced Photon Source, Argonne National Laboratory, Argonne, IL 60559, USA.
Fan ZhangMaterials Measurement Science Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
Ivan KuzmenkoAdvanced Photon Source, Argonne National Laboratory, Argonne, IL 60559, USA.
Jan IlavskyAdvanced Photon Source, Argonne National Laboratory, Argonne, IL 60559, USA.
Argonne National Laboratory · USMaterial Measurement Laboratory · US

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

X-ray photon correlation spectroscopy (XPCS), an extension of dynamic light scattering (DLS) in the X-ray regime, detects temporal intensity fluctuations of coherent speckles and provides scattering vector-dependent sample dynamics at length scales smaller than DLS. The penetrating power of X-rays enables probing dynamics in a broad array of materials with XPCS, including polymers, glasses and metal alloys, where attempts to describe the dynamics with a simple exponential fit usually fails. In these cases, the prevailing XPCS data analysis approach employs stretched or compressed exponential decay functions (Kohlrausch functions), which implicitly assume homogeneous dynamics. In this paper, we propose an alternative analysis scheme based upon inverse Laplace or Gaussian transformation for elucidating heterogeneous distributions of dynamic time scales in XPCS, an approach analogous to the CONTIN algorithm widely accepted in the analysis of DLS from polydisperse and multimodal systems. Using XPCS data measured from colloidal gels, we demonstrate the inverse transform approach reveals hidden multimodal dynamics in materials, unleashing the full potential of XPCS.

Identifiers

PMID29875506
PMCPMC5986160
OpenAlexW2773139170

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.