TY  - JOUR
AU  - Velichko, Evgenii
AU  - Abele, Hartmut
AU  - Barlow, David J.
AU  - Benedetto, Antonio
AU  - Deledda, Stefano
AU  - van Eijck, Lambert
AU  - Fernandez-Diaz, Maria Teresa
AU  - Janoschek, Marc
AU  - Karlsson, Maths
AU  - Lefmann, Kim
AU  - Malikova, Natalie
AU  - Marques, Maria P. M.
AU  - Mergia, Konstantina
AU  - Pieper, Jörg
AU  - Rønnow, Henrik M.
AU  - Šaroun, Jan
AU  - Schneidewind, Astrid
AU  - Schreiber, Frank
AU  - Temst, Kristiaan
AU  - Wolff, Max
AU  - Zając, Wojciech
AU  - Zanatta, Marco
TI  - Rendering the European neutron research landscape
JO  - Scientific reports
VL  - 15
IS  - 1
SN  - 2045-2322
CY  - [London]
PB  - Springer Nature
M1  - FZJ-2025-01780
SP  - 5722
PY  - 2025
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - 39962151
UR  - <Go to ISI:>//WOS:001424375700039
DO  - DOI:10.1038/s41598-025-88099-w
UR  - https://juser.fz-juelich.de/record/1039736
ER  -