%0 Conference Paper
%A Valenzuela Reina, Javier
%A Köcher, Simone Swantje
%T Assessing Dataset Composition and Transferability in Machine Learning-Based NMR Predictions of Solid-State Electrolytes: A Case Study on LLZO and NPS
%M FZJ-2025-05825
%D 2025
%B Frontiers of Multi-scale Modeling in Materials, Energy & Catalysis XI
%C 16 Jun 2025 - 20 Jun 2025, Herrsching am Ammersee (Germany)
Y2 16 Jun 2025 - 20 Jun 2025
M2 Herrsching am Ammersee, Germany
%F PUB:(DE-HGF)6
%9 Conference Presentation
%U https://juser.fz-juelich.de/record/1050117