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@ARTICLE{Buttberg:1008690,
author = {Buttberg, Milan and Valov, Ilia and Menzel, Stephan},
title = {{S}imulating the filament morphology in electrochemical
metallization cells},
journal = {Neuromorphic computing and engineering},
volume = {3},
number = {2},
issn = {2634-4386},
address = {Bristol},
publisher = {IOP Publishing Ltd.},
reportid = {FZJ-2023-02481},
pages = {024010 -},
year = {2023},
abstract = {Electrochemical metallization (ECM) cells are based on the
principle of voltage controlled formation or dissolution of
a nanometer-thin metallic conductive filament (CF) between
two electrodes separated by an insulating material, e.g. an
oxide. The lifetime of the CF depends on factors such as
materials and biasing. Depending on the lifetime of the
CF—from microseconds to years—ECM cells show promising
properties for use in neuromorphic circuits, for in-memory
computing, or as selectors and memory cells in storage
applications. For enabling those technologies with ECM
cells, the lifetime of the CF has to be controlled. As
various authors connect the lifetime with the morphology of
the CF, the key parameters for CF formation have to be
identified. In this work, we present a 2D axisymmetric
physical continuum model that describes the kinetics of
volatile and non-volatile ECM cells, as well as the
morphology of the CF. It is shown that the morphology
depends on both the amplitude of the applied voltage signal
and CF-growth induced mechanical stress within the oxide
layer. The model is validated with previously published
kinetic measurements of non-volatile Ag/SiO2/Pt and volatile
Ag/HfO2/Pt cells and the simulated CF morphologies are
consistent with previous experimental CF observations.},
cin = {PGI-7 / JARA-FIT},
ddc = {621.3},
cid = {I:(DE-Juel1)PGI-7-20110106 / $I:(DE-82)080009_20140620$},
pnm = {5233 - Memristive Materials and Devices (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)},
pid = {G:(DE-HGF)POF4-5233 / G:(DE-82)BMBF-16ME0399 /
G:(DE-82)BMBF-16ME0398K},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001064060100001},
doi = {10.1088/2634-4386/acdbe5},
url = {https://juser.fz-juelich.de/record/1008690},
}