Sergey Saveliev

Dr. Sergey Saveliev


Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 October 2017 in Nature Communications
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HJHao Jiang
Hao Jiang
DBDaniel Belkin
Daniel Belkin
SSSergey Saveliev
Sergey Saveliev
SLSiyan Lin
Siyan Lin
Zhongrui WangZhongrui Wang
Zhongrui Wang
QXQiangfei Xia
Qiangfei Xia
The intrinsic variability of switching behavior in memristors has been a major obstacle to their adoption as the next generation of universal memory. On the other hand, this natural stochasticity can be valuable for hardware security applications. Here we propose and demonstrate a novel true random number generator utilizing the stochastic delay time of threshold switching in a Ag:SiO2diffusive memristor, which exhibits evident advantages in scalability, circuit complexity, and power consumption. The random bits generated by the diffusive memristor true random number generator pass all 15 NIST randomness tests without any post-processing, a first for memristive-switching true random number generators. Based on nanoparticle dynamic simulation and analytical estimates, we attribute the stochasticity in delay time to the probabilistic process by which Ag particles detach from a Ag reservoir. This work paves the way for memristors in hardware security applications for the era of the Internet of Things.

1 October 2024 in APL Materials
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Adnan MehonicAdnan Mehonic
Adnan Mehonic
DIDaniele Ielmini
Daniele Ielmini
KRKaushik Roy
Kaushik Roy
OMOnur Mutlu
Onur Mutlu
Shahar KvatinskyShahar Kvatinsky
Shahar Kvatinsky
RWRainer Waser
Rainer Waser

4 April 2016 in Nature Communications
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Journal Article
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WYWei Yi
Wei Yi
SSSergey Saveliev
Sergey Saveliev
GMGilberto Medeiros-Ribeiro
Gilberto Medeiros-Ribeiro
FMFeng Miao
Feng Miao
MZM.-X. Zhang
M.-X. Zhang
RWR. Stanley Williams
R. Stanley Williams
Tantalum oxide memristors can switch continuously from a low-conductance semiconducting to a high-conductance metallic state. At the boundary between these two regimes are quantized conductance states, which indicate the formation of a point contact within the oxide characterized by multistable conductance fluctuations and enlarged electronic noise. Here, we observe diverse conductance-dependent noise spectra, including a transition from 1/f2(activated transport) to 1/f(flicker noise) as a function of the frequencyf, and a large peak in the noise amplitude at the conductance quantumGQ=2e2/h, in contrast to suppressed noise at the conductance quantum observed in other systems. We model the stochastic behaviour near the point contact regime using Molecular Dynamics–Langevin simulations and understand the observed frequency-dependent noise behaviour in terms of thermally activated atomic-scale fluctuations that make and break a quantum conductance channel. These results provide insights into switching mechanisms and guidance to device operating ranges for different applications.

25 October 2010 in Physical Review E
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PHPeter Hänggi
Peter Hänggi
FMFabio Marchesoni
Fabio Marchesoni
SSSergey Saveliev
Sergey Saveliev
GSGerhard Schmid
Gerhard Schmid
We propose a simple classical concept of nanodevices working in an absolute negative mobility (ANM) regime: the minimal spatial asymmetry required for ANM to occur is embedded in the geometry of the transported particle, rather than in the channel design. This allows for a tremendous simplification of device engineering, thus paving the way toward practical implementations of ANM. Operating conditions and performance of our model device are investigated, both numerically and analytically.

14 December 2023 in Nature Communications
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DYDmytro D. Yaremkevich
Dmytro D. Yaremkevich
ASAlexey Scherbakov
Alexey Scherbakov
LCLuke De Clerk
Luke De Clerk
SKSerhii M. Kukhtaruk
Serhii M. Kukhtaruk
ANAchim Nadzeyka
Achim Nadzeyka
MBManfred Bayer
Manfred Bayer
Reservoir computing is a concept involving mapping signals onto a high-dimensional phase space of a dynamical system called “reservoir” for subsequent recognition by an artificial neural network. We implement this concept in a nanodevice consisting of a sandwich of a semiconductor phonon waveguide and a patterned ferromagnetic layer. A pulsed write-laser encodes input signals into propagating phonon wavepackets, interacting with ferromagnetic magnons. The second laser reads the output signal reflecting a phase-sensitive mix of phonon and magnon modes, whose content is highly sensitive to the write- and read-laser positions. The reservoir efficiently separates the visual shapes drawn by the write-laser beam on the nanodevice surface in an area with a size comparable to a single pixel of a modern digital camera. Our finding suggests the phonon-magnon interaction as a promising hardware basis for realizing on-chip reservoir computing in future neuromorphic architectures.

1 June 2006 in New Journal of Physics
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SSSergey Saveliev
Sergey Saveliev
XHXuedong Hu
Xuedong Hu
FNFranco Nori
Franco Nori
We propose a mechanical qubit based on buckling nanobars—a nano-electromechanical system so small as to be quantum coherent. To establish buckling nanobars as legitimate candidates for qubits, we calculate the effective buckling potential that produces the two-level system and identify the tunnel coupling between the two local states. We propose different designs of nanomechanical qubits and describe how they can be manipulated. Also we outline possible decoherence channels and detection schemes. A comparison between the well-studied charge and flux superconducting qubits suggests several experimental setups which could be realized using available technology.