% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Chekol:904957,
author = {Chekol, Solomon Amsalu and Menzel, Stephan and Ahmad, Rana
Walied and Waser, Rainer and Hoffmann-Eifert, Susanne},
title = {{E}ffect of the {T}hreshold {K}inetics on the {F}ilament
{R}elaxation {B}ehavior of {A}g‐{B}ased {D}iffusive
{M}emristors},
journal = {Advanced functional materials},
volume = {32},
number = {15},
issn = {1057-9257},
address = {Weinheim},
publisher = {Wiley-VCH},
reportid = {FZJ-2022-00271},
pages = {2111242 -},
year = {2022},
abstract = {Owing to their unique features such as thresholding and
self-relaxation behavior diffusive memristors built from
volatile electrochemical metallization (v-ECM) devices are
drawing attention in emerging memories and neuromorphic
computing areas such as temporal coding. Unlike the
switching kinetics of non-volatile ECM cells, the
thresholding and relaxation dynamics of diffusive memristors
are still under investigation. Comprehension of the kinetics
and identification of the underlying physical processes
during switching and relaxation are of utmost importance to
optimize and modulate the performance of threshold devices.
In this study, the switching dynamics of Ag/HfO2/Pt v-ECM
devices are investigated. Depending on the amplitude and
duration of applied voltage pulses, the threshold kinetics
and the filament relaxation are analyzed in a comprehensive
approach. This enables the identification of different
mechanisms as the rate-limiting steps for filament formation
and, consequently, to simulate the threshold kinetics using
a physical model modified from non-volatile ECM. New
insights gained from the combined threshold and relaxation
kinetics study outline the significance of the filament
formation and growth process on its relaxation time. This
knowledge can be directly transferred into the optimization
of the operation conditions of diffusive memristors in
neuromorphic circuits.},
cin = {PGI-7 / JARA-FIT / PGI-10},
ddc = {530},
cid = {I:(DE-Juel1)PGI-7-20110106 / $I:(DE-82)080009_20140620$ /
I:(DE-Juel1)PGI-10-20170113},
pnm = {5233 - Memristive Materials and Devices (POF4-523) /
Verbundprojekt: Neuro-inspirierte Technologien der
künstlichen Intelligenz für die Elektronik der Zukunft -
NEUROTEC -, Teilvorhaben: Forschungszentrum Jülich
(16ES1133K) / ACA - Advanced Computing Architectures
(SO-092)},
pid = {G:(DE-HGF)POF4-5233 / G:(BMBF)16ES1133K / G:(DE-HGF)SO-092},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000733321000001},
doi = {10.1002/adfm.202111242},
url = {https://juser.fz-juelich.de/record/904957},
}