%0 Journal Article
%A Fritscher, Markus
%A Singh, Simranjeet
%A Rizzi, Tommaso
%A Baroni, Andrea
%A Reiser, Daniel
%A Mallah, Maen
%A Hartmann, David
%A Bende, Ankit
%A Kempen, Tim
%A Uhlmann, Max
%A Kahmen, Gerhard
%A Fey, Dietmar
%A Rana, Vikas
%A Menzel, Stephan
%A Reichenbach, Marc
%A Krstic, Milos
%A Merchant, Farhad
%A Wenger, Christian
%T A flexible and fast digital twin for RRAM systems applied for training resilient neural networks
%J Scientific reports
%V 14
%N 1
%@ 2045-2322
%C [London]
%I Macmillan Publishers Limited, part of Springer Nature
%M FZJ-2024-06026
%P 23695
%D 2024
%F PUB:(DE-HGF)16
%9 Journal Article
%$ 39390001
%U <Go to ISI:>//WOS:001337092300096
%R 10.1038/s41598-024-73439-z
%U https://juser.fz-juelich.de/record/1032140