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@ARTICLE{Bengel:884086,
author = {Bengel, Christopher and Siemon, Anne and Cuppers, Felix and
Hoffmann-Eifert, Susanne and Hardtdegen, Alexander and von
Witzleben, Moritz and Hellmich, Lena and Waser, Rainer and
Menzel, Stephan},
title = {{V}ariability-{A}ware {M}odeling of {F}ilamentary
{O}xide-{B}ased {B}ipolar {R}esistive {S}witching {C}ells
{U}sing {SPICE} {L}evel {C}ompact {M}odels},
journal = {IEEE transactions on circuits and systems / 1 Regular
papers},
volume = {67},
number = {12},
issn = {1558-0806},
address = {New York, NY},
publisher = {Institute of Electrical and Electronics Engineers},
reportid = {FZJ-2020-03085},
pages = {4618 - 4630},
year = {2020},
abstract = {Bipolar resistive switching (BRS) cells based on the
valence change mechanism show great potential to enable the
design of future non-volatile memory, logic and neuromorphic
circuits and architectures. To study these circuits and
architectures, accurate compact models are needed, which
showcase the most important physical characteristics and
lead to their specific experimental behavior. If BRS cells
are to be used for computation-in-memory or for neuromorphic
computing, their dynamical behavior has to be modeled with
special consideration of switching times in SET and RESET.
For any realistic assessment, variability has to be
considered additionally. This study shows that by extending
an existing compact model, which by itself is able to
reproduce many different experiments on device behavior
critical for the anticipated device purposes, variability
found in experimental measurements can be reproduced for
important device characteristics such as I-V
characteristics, endurance behavior and most significantly
the SET and RESET kinetics. Furthermore, this enables the
study of spatial and temporal variability and its impact on
the circuit and system level.},
cin = {PGI-7 / JARA-FIT / PGI-10 / PTJ-NMT},
ddc = {620},
cid = {I:(DE-Juel1)PGI-7-20110106 / $I:(DE-82)080009_20140620$ /
I:(DE-Juel1)PGI-10-20170113 / I:(DE-Juel1)PTJ-NMT-20090406},
pnm = {524 - Controlling Collective States (POF3-524) /
BMBF-16ES1134 - Verbundprojekt: Neuro-inspirierte
Technologien der künstlichen Intelligenz für die
Elektronik der Zukunft - NEUROTEC - (BMBF-16ES1134) /
Verbundprojekt: Neuro-inspirierte Technologien der
künstlichen Intelligenz für die Elektronik der Zukunft -
NEUROTEC -, Teilvorhaben: Forschungszentrum Jülich
(16ES1133K) / Advanced Computing Architectures
$(aca_20190115)$},
pid = {G:(DE-HGF)POF3-524 / G:(DE-82)BMBF-16ES1134 /
G:(BMBF)16ES1133K / $G:(DE-Juel1)aca_20190115$},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000596021000038},
doi = {10.1109/TCSI.2020.3018502},
url = {https://juser.fz-juelich.de/record/884086},
}