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@ARTICLE{Fritscher:1032140,
author = {Fritscher, Markus and Singh, Simranjeet and Rizzi, Tommaso
and Baroni, Andrea and Reiser, Daniel and Mallah, Maen and
Hartmann, David and Bende, Ankit and Kempen, Tim and
Uhlmann, Max and Kahmen, Gerhard and Fey, Dietmar and Rana,
Vikas and Menzel, Stephan and Reichenbach, Marc and Krstic,
Milos and Merchant, Farhad and Wenger, Christian},
title = {{A} flexible and fast digital twin for {RRAM} systems
applied for training resilient neural networks},
journal = {Scientific reports},
volume = {14},
number = {1},
issn = {2045-2322},
address = {[London]},
publisher = {Macmillan Publishers Limited, part of Springer Nature},
reportid = {FZJ-2024-06026},
pages = {23695},
year = {2024},
cin = {PGI-7 / PGI-10 / JARA-FIT},
ddc = {600},
cid = {I:(DE-Juel1)PGI-7-20110106 / I:(DE-Juel1)PGI-10-20170113 /
$I:(DE-82)080009_20140620$},
pnm = {5234 - Emerging NC Architectures (POF4-523) / BMBF 16ME0399
- Verbundprojekt: Neuro-inspirierte Technologien der
künstlichen Intelligenz für die Elektronik der Zukunft -
NEUROTEC II - (BMBF-16ME0399) / BMBF 16ME0398K -
Verbundprojekt: Neuro-inspirierte Technologien der
künstlichen Intelligenz für die Elektronik der Zukunft -
NEUROTEC II - (BMBF-16ME0398K) / DFG project
G:(GEPRIS)441957207 - Hardwarerealisierung von universellen
speicherbasierten memristiven zellularen Rechnerstrukturen
(441957207)},
pid = {G:(DE-HGF)POF4-5234 / G:(DE-82)BMBF-16ME0399 /
G:(DE-82)BMBF-16ME0398K / G:(GEPRIS)441957207},
typ = {PUB:(DE-HGF)16},
pubmed = {39390001},
UT = {WOS:001337092300096},
doi = {10.1038/s41598-024-73439-z},
url = {https://juser.fz-juelich.de/record/1032140},
}