[1]
D. Rajagopal, A. Koeppe, M. Esmaeilpour, M. Selzer, H. Stein, and B. Nestler, “A Reproducible Machine Learning Workflow to Characterize the Solid Electrolyte Interphase”, in E-Science-Tage 2023: Empower Your Research – Preserve Your Data, V. Heuveline, N. Bisheh, and P. Kling, Eds. Heidelberg: heiBOOKS, 2023, pp. 19–31. doi: 10.11588/heibooks.1288.c18061.