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@ARTICLE{vonWitzleben:894959,
author = {von Witzleben, M. and Walfort, S. and Waser, R. and Menzel,
Stephan and Bottger, U.},
title = {{D}etermining the {E}lectrical {C}harging {S}peed {L}imit
of {R}e{RAM} {D}evices},
journal = {IEEE journal of the Electron Devices Society},
volume = {9},
issn = {2168-6734},
address = {[New York, NY]},
publisher = {IEEE},
reportid = {FZJ-2021-03500},
pages = {667 - 678},
year = {2021},
abstract = {Redox-based random-access memory (ReRAM) has the potential
to successfully address the technological barriers that
today’s memory technologies face. One of its promising
features is its fast switching speed down to 50 ps.
Identifying the limiting process of the switching speed is,
however, difficult. At sub-nanosecond timescales three
candidates are being discussed: An intrinsic limitation,
being the migration of mobile donor ions, e.g., oxygen
vacancies, the heating time, and its electrical charging
time. Usually, coplanar waveguides (CPW) are used to bring
the electrical stimuli to the device. Based on the data of
previous publications, we show, that the rise time of the
effective electrical stimulus is mainly responsible for
limiting the switching speed at the sub-nanosecond
timescale. For this purpose, frequency domain measurements
up to 40 GHz were conducted on three $Pt\TaO$ x $\Ta$
devices with different sizes. By multiplying the obtained
scattering parameters of these devices with the Fourier
transform of the incoming signal, and building the inverse
Fourier transform of this product, the voltage at the ReRAM
device can be determined. Finally, the rise time of the
voltage at the ReRAM device is calculated, which is a
measure to the electrical charging time. It was shown that
this rise time amounts to 2.5 ns for the largest device,
which is significantly slower than the pulse generator’s
rise time. Reducing the device’s rise time down to 66 ps
is possible, but requires smaller features sizes and other
optimizations, which we summarize in this paper.},
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) /
Verbundprojekt: Neuro-inspirierte Technologien der
künstlichen Intelligenz für die Elektronik der Zukunft -
NEUROTEC -, Teilvorhaben: Forschungszentrum Jülich
(16ES1133K) / BMBF-16ES1134 - Verbundprojekt:
Neuro-inspirierte Technologien der künstlichen Intelligenz
für die Elektronik der Zukunft - NEUROTEC -
(BMBF-16ES1134)},
pid = {G:(DE-HGF)POF4-5233 / G:(BMBF)16ES1133K /
G:(DE-82)BMBF-16ES1134},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000673622400001},
doi = {10.1109/JEDS.2021.3095389},
url = {https://juser.fz-juelich.de/record/894959},
}