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@ARTICLE{Velichko:1039736,
      author       = {Velichko, Evgenii and Abele, Hartmut and Barlow, David J.
                      and Benedetto, Antonio and Deledda, Stefano and van Eijck,
                      Lambert and Fernandez-Diaz, Maria Teresa and Janoschek, Marc
                      and Karlsson, Maths and Lefmann, Kim and Malikova, Natalie
                      and Marques, Maria P. M. and Mergia, Konstantina and Pieper,
                      Jörg and Rønnow, Henrik M. and Šaroun, Jan and
                      Schneidewind, Astrid and Schreiber, Frank and Temst,
                      Kristiaan and Wolff, Max and Zając, Wojciech and Zanatta,
                      Marco},
      title        = {{R}endering the {E}uropean neutron research landscape},
      journal      = {Scientific reports},
      volume       = {15},
      number       = {1},
      issn         = {2045-2322},
      address      = {[London]},
      publisher    = {Springer Nature},
      reportid     = {FZJ-2025-01780},
      pages        = {5722},
      year         = {2025},
      abstract     = {Neutrons, owing to their unique properties, serve as
                      indispensable probes for investigating the structure and
                      dynamics of materials across various length scales. The
                      scientific community utilizing neutron research
                      infrastructures encompasses a diverse range of disciplines,
                      making it challenging to quantify its scientific and
                      societal impact. To address this challenge, we apply Natural
                      Language Processing (NLP) and machine learning techniques to
                      analyze the scientific output of the European neutron
                      science community. Leveraging open-source software toolkits,
                      our method allows for the quantitative assessment of
                      community evolution and research focus. Our analysis reveals
                      consistent growth in the neutron community despite a
                      reduction in sources, underscoring the enduring significance
                      of neutron methods in scientific research. Furthermore, an
                      increase in unique authors and an even distribution of
                      publications across diverse scientific topics highlight the
                      community’s interdisciplinary nature and collaborative
                      spirit. While this study emphasizes neutron scattering, our
                      methodology holds promise for a broad range of scientific
                      communities reliant on Large Research Infrastructures
                      (LRIs), offering opportunities for collaboration,
                      optimization of experimental approaches, and informed
                      decision-making by governmental and funding bodies.},
      cin          = {JCNS-FRM-II / MLZ / JCNS-4},
      ddc          = {600},
      cid          = {I:(DE-Juel1)JCNS-FRM-II-20110218 / I:(DE-588b)4597118-3 /
                      I:(DE-Juel1)JCNS-4-20201012},
      pnm          = {6G4 - Jülich Centre for Neutron Research (JCNS) (FZJ)
                      (POF4-6G4) / 632 - Materials – Quantum, Complex and
                      Functional Materials (POF4-632)},
      pid          = {G:(DE-HGF)POF4-6G4 / G:(DE-HGF)POF4-632},
      experiment   = {EXP:(DE-MLZ)NOSPEC-20140101},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {39962151},
      UT           = {WOS:001424375700039},
      doi          = {10.1038/s41598-025-88099-w},
      url          = {https://juser.fz-juelich.de/record/1039736},
}