Article, 2024

POMFinder: identifying polyoxometallate cluster structures from pair distribution function data using explainable machine learning

JOURNAL OF APPLIED CRYSTALLOGRAPHY, ISSN 1600-5767, Volume 57, Pages 34-43, 10.1107/S1600576723010014

Contributors

Anker, Andy S. [1] Kjaer, Emil T. S. [1] Juelsholt, Mikkel [2] Jensen, Kirsten M. O. (Corresponding author) [1]

Affiliations

  1. [1] Univ Copenhagen, Dept Chem, DK-2100 Copenhagen O, Denmark
    2. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];
  2. [2] Univ Oxford, Dept Mat, Pk Rd, Oxford OX1 3PH, Oxon, England
    3. [NORA names: United Kingdom; Europe, Non-EU; OECD]

Abstract

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Keywords

POMFinder., computational modelling, learning, machine, polyoxometallate clusters

Data Provider: Clarivate

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