001039736 001__ 1039736 001039736 005__ 20250310131234.0 001039736 0247_ $$2doi$$a10.1038/s41598-025-88099-w 001039736 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-01780 001039736 0247_ $$2pmid$$a39962151 001039736 0247_ $$2WOS$$aWOS:001424375700039 001039736 037__ $$aFZJ-2025-01780 001039736 082__ $$a600 001039736 1001_ $$0P:(DE-HGF)0$$aVelichko, Evgenii$$b0$$eCorresponding author 001039736 245__ $$aRendering the European neutron research landscape 001039736 260__ $$a[London]$$bSpringer Nature$$c2025 001039736 3367_ $$2DRIVER$$aarticle 001039736 3367_ $$2DataCite$$aOutput Types/Journal article 001039736 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1740038482_29850 001039736 3367_ $$2BibTeX$$aARTICLE 001039736 3367_ $$2ORCID$$aJOURNAL_ARTICLE 001039736 3367_ $$00$$2EndNote$$aJournal Article 001039736 520__ $$aNeutrons, 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. 001039736 536__ $$0G:(DE-HGF)POF4-6G4$$a6G4 - Jülich Centre for Neutron Research (JCNS) (FZJ) (POF4-6G4)$$cPOF4-6G4$$fPOF IV$$x0 001039736 536__ $$0G:(DE-HGF)POF4-632$$a632 - Materials – Quantum, Complex and Functional Materials (POF4-632)$$cPOF4-632$$fPOF IV$$x1 001039736 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de 001039736 65027 $$0V:(DE-MLZ)SciArea-250$$2V:(DE-HGF)$$aOthers$$x0 001039736 65017 $$0V:(DE-MLZ)GC-2003-2016$$2V:(DE-HGF)$$aOthers$$x0 001039736 693__ $$0EXP:(DE-MLZ)NOSPEC-20140101$$5EXP:(DE-MLZ)NOSPEC-20140101$$eNo specific instrument$$x0 001039736 7001_ $$0P:(DE-HGF)0$$aAbele, Hartmut$$b1 001039736 7001_ $$0P:(DE-HGF)0$$aBarlow, David J.$$b2 001039736 7001_ $$0P:(DE-HGF)0$$aBenedetto, Antonio$$b3 001039736 7001_ $$0P:(DE-HGF)0$$aDeledda, Stefano$$b4 001039736 7001_ $$0P:(DE-HGF)0$$avan Eijck, Lambert$$b5 001039736 7001_ $$0P:(DE-HGF)0$$aFernandez-Diaz, Maria Teresa$$b6 001039736 7001_ $$0P:(DE-HGF)0$$aJanoschek, Marc$$b7 001039736 7001_ $$0P:(DE-HGF)0$$aKarlsson, Maths$$b8 001039736 7001_ $$0P:(DE-HGF)0$$aLefmann, Kim$$b9 001039736 7001_ $$0P:(DE-HGF)0$$aMalikova, Natalie$$b10 001039736 7001_ $$0P:(DE-HGF)0$$aMarques, Maria P. 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