Article
Mathematics, Interdisciplinary Applications
Yury Ushakov, Amir Akther, Pavel Borisov, Debi Pattnaik, Sergey Savel'ev, Alexander G. Balanov
Summary: Diffusive memristors, considered as one of the best candidates to mimic neuron activities and implement novel computing paradigms, exhibit a combination of dynamical, chaotic, and stochastic phenomena, but understanding the contribution of deterministic and stochastic dynamics to their functional properties remains an open problem.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Chemistry, Multidisciplinary
Yang Jiang, Dingchen Wang, Ning Lin, Shuhui Shi, Yi Zhang, Shaocong Wang, Xi Chen, Hegan Chen, Yinan Lin, Kam Chi Loong, Jia Chen, Yida Li, Renrui Fang, Dashan Shang, Qing Wang, Hongyu Yu, Zhongrui Wang
Summary: This article demonstrates the experimental realization of a second-order memristor using yttria-stabilized zirconia with Ag doping, which exhibits spontaneous threshold lowering (STL) functionality and enables spatial attention. The physical origin of the second-order dynamics is uncovered, paving the way for future machine intelligence with high-efficiency and compact footprint.
Article
Nanoscience & Nanotechnology
Huiwu Mao, Yongli He, Chunsheng Chen, Li Zhu, Yixin Zhu, Ying Zhu, Shuo Ke, Xiangjing Wang, Changjin Wan, Qing Wan
Summary: This research introduces a stacked memristor based on IGZO as a spiking stochastic neuron, showing tunable firing probability and demonstrating eliminated switching variation and small relative deviation in stacked configuration compared to a single memristor.
ADVANCED ELECTRONIC MATERIALS
(2022)
Article
Engineering, Electrical & Electronic
Jiaxue Zhu, Xumeng Zhang, Ming Wang, Rui Wang, Pei Chen, Lingli Cheng, Qi Liu
Summary: This letter reports an artificial spiking nociceptor integrating a pressure sensor and a NbOx-based memristor, which can emulate key features of biological nociceptors and is suitable for constructing efficient sensory systems and neural interfaces.
IEEE ELECTRON DEVICE LETTERS
(2022)
Article
Mathematics, Applied
Yuncheng You
Summary: This paper investigates the global dynamics of the diffusive Hindmarsh-Rose equations with memristors as a new proposed model for neuron dynamics. The existence and regularity of a global attractor for the solution semiflow are proved through uniform analytic estimates, demonstrating the higher-order dissipative property and asymptotically compact characteristics of the solutions using the approach of Kolmogorov-Riesz theorem. The quantitative bounds of the regions containing the global attractor in both state space and regular space are explicitly expressed by the model parameters.
NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS
(2023)
Article
Neurosciences
Xiaoyan Fang, Shukai Duan, Lidan Wang
Summary: The introduction of the memristor to the Hodgkin-Huxley spiking neuron model results in the creation of the memristive Hodgkin-Huxley spiking neuron model (MHH). Experimental comparisons show that the MHH model generates more action potentials and changes memconductance faster than the HH model, with smoother waveforms and quicker return to the resting potential. The MHH model displays various spiking patterns of neurons and is more sensitive to external stimuli, resulting in faster action potential generation and noticeable changes in conductances.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Physics, Applied
Qiaoling Tian, Xiaoting Chen, Xiaoning Zhao, Zhongqiang Wang, Ya Lin, Ye Tao, Haiyang Xu, Yichun Liu
Summary: This study demonstrates temperature-modulated switching behaviors in an amorphous carbon (a-C) diffusive memristor device to emulate biorealistic synaptic plasticity. The device exhibits memory switching and threshold switching behaviors depending on the compliance current and ambient temperature. The thermal effect promotes the electrochemical formation of a stable metallic conductive filament, as confirmed by conducting atomic force microscopy. Timing-controlled pulse experiments reveal second-order memristive behaviors influenced by temperature.
APPLIED PHYSICS LETTERS
(2023)
Article
Chemistry, Multidisciplinary
In Hyuk Im, Ji Hyun Baek, Seung Ju Kim, Jaehyun Kim, Sung Hyuk Park, Jae Young Kim, J. Joshua Yang, Ho Won Jang
Summary: Utilizing the diffusion threshold switching phenomenon in silver-incorporated halide perovskites, this study demonstrates the functions of afferent neurons and an artificial mechano-nociceptive system. These results represent significant progress in the field of bio-inspired electronics and systems.
ADVANCED MATERIALS
(2023)
Article
Computer Science, Information Systems
Mei Guo, Kaixuan Zhao, Junwei Sun, Shiping Wen, Gang Dou
Summary: This paper proposes and implements a multifunctional associate memory circuit based on spiking signals in hardware. The circuit emulates spiking signal transmission and learning and forgetting functions using neuron circuits and synapse modules. The implementation in hardware obviates the need for stringent experimental prerequisites, and the experimental results are consistent with the simulation results.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Aabid Amin Fida, Farooq A. Khanday, Sparsh Mittal
Summary: Neuromorphic computing is a novel computing paradigm that aims to mimic the behavior of biological neural networks for efficiently solving complex problems. Neuromemristive systems based on memristor devices offer a viable solution to the limitations of CMOS based neurons and synapses.
Article
Multidisciplinary Sciences
Maik-Ivo Terasa, Pia Holtz, Niko Carstens, Soren Kaps, Franz Faupel, Alexander Vahl, Rainer Adelung
Summary: This work introduces a novel lateral geometry memristor that combines the capabilities of bipolar switching and decelerated diffusive switching, displaying biologically plausible short-term memory. The lateral memristor, fabricated using carbon nanotubes and AgAu nanoparticles, exhibits a hybrid behavior of diffusive and bipolar switching, with a retention time positively correlated to the duration of the Set voltage pulse. With potential for low-voltage operation, it is a promising candidate for short-term memory applications in neuromorphic circuits.
Article
Physics, Applied
A. Gabbitas, D. P. Pattnaik, Z. Zhou, P. Borisov
Summary: Diffusive memristors show volatile resistive switching through the diffusion of silver nanoparticles in the silicon dioxide matrix. The equivalent circuit of the high resistance state has been analyzed for two types of devices with analog or abrupt switching characteristics. The resistance component agrees well with the differential resistance obtained from the I-V curves, while the capacitance visibly increases in analog switching devices due to the formation of a conductive filament and redistribution of silver nanoparticles. This experimental approach allows for the identification of different electrical circuit behaviors in a memristive device before resistive switching.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2023)
Article
Engineering, Electrical & Electronic
Jialin Meng, Yue Liu, Yuqing Fang, Zhenhai Li, Jieru Song, Tianyu Wang, Hao Zhu, Peining Chen, Qingqing Sun, David Wei Zhang, Lin Chen
Summary: A fiber-shaped Cu-ion diffusive memristor is proposed for artificial synapse and neuromorphic computing. The memristor exhibits gradual conductance modulation characteristics under consecutive voltage sweeps. Typical synaptic plasticity such as EPSC, PPF, PPD, LTP/LTD, and learning behaviors were successfully achieved with this memristor. The active Cu2+ of the diffusive memristor is similar to the diffusion of Ca2+ in biological synapse, which is crucial for realizing synaptic plasticity functions. The fiber-shaped Cu2+ diffusive memristor as an artificial synapse paves the way for next-generation wearable neuromorphic computing systems.
IEEE ELECTRON DEVICE LETTERS
(2023)
Article
Physics, Multidisciplinary
Chenggui Yao, Fei Xu, Jianwei Shuai, Xiang Li
Summary: The environmental temperature plays a critical role in the propagation of firing rate in neural networks, with synchronization of firing rate being optimized at an appropriate temperature.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Astronomy & Astrophysics
A. Sanghi, A. E. Fraser, E. W. Tian, P. Garaud
Summary: This study investigates the properties of oscillatory double-diffusive convection (ODDC) in the presence of a uniform vertical background magnetic field. It is found that the magnetic field affects the saturation and layer formation of ODDC.
ASTROPHYSICAL JOURNAL
(2022)
Article
Multidisciplinary Sciences
Luke De Clerk, Sergey Savel'ev
Summary: This study analyzes the behavior of higher order standardized moments of financial time series in different time windows and discovers two different scaling relations as the length of the time window decreases. These scaling relations drastically change when the time window includes a financial crisis. Furthermore, a qualitative change of higher order standardized moments compared with Gaussian values is observed when the time window shrinks.
Article
Multidisciplinary Sciences
Sergei Gepshtein, Ambarish S. Pawar, Sunwoo Kwon, Sergey Savel'ev, Thomas D. Albright
Summary: The traditional view of specialized sensory neurons in the cortical region has been challenged by evidence of contextual interactions between stimulus dimensions. Through mathematical modeling and experiments, the concept of neural wave interference provides a useful alternative to the traditional concept of neural computation.
Article
Statistics & Probability
Luke De Clerk, Sergey Savel'ev
Summary: This paper presents a method for fitting higher order moments of stock prices using a simple GARCH (1, 1) model. It shows that a Gaussian conditional distribution fails to capture the higher order moments and suggests using a mixture of normal distributions instead. The paper also investigates the ability of the GARCH model with a double normal conditional distribution to fit higher order moments based on different time window lengths and parameters, and explores the impact of the COVID-19 pandemic on stock stability.
JOURNAL OF PROBABILITY AND STATISTICS
(2022)
Article
Physics, Applied
Boris Chesca, Marat Gaifullin, Daniel John, Jonathan Cox, Sergey Savelev, Christopher Mellor
Summary: This study reports on the influence of preferential magnetic vortices motion on the inverse ac Josephson effect and the coherent operation of asymmetrical parallel arrays of YBa2Cu3O7-delta Josephson junctions. The results suggest that preferential vortex-flow has a significant impact on the coherent microwave operation of superconducting devices.
APPLIED PHYSICS LETTERS
(2022)
Article
Physics, Condensed Matter
C. J. Huggins, S. E. Savel'ev, A. G. Balanov, A. M. Zagoskin
Summary: Demonstration of the experimental feasibility and quantum effects of quantum behavior through the use of superposition of quantum states.
EUROPEAN PHYSICAL JOURNAL B
(2023)
Article
Physics, Applied
P. Navez, A. G. Balanov, S. E. Savel'ev, A. M. Zagoskin
Summary: By using the formalism of quantum electrodynamics, we have developed a comprehensive theoretical framework to describe the interaction between single microwave photons and an array of superconducting transmon qubits in a waveguide cavity resonator. Our analysis reveals the effects of microwave photons on the array's response to a weak probe signal, showing that high quality factor cavities provide better spectral resolution, while moderate quality factor cavities offer better sensitivity for single-photon detection. Surprisingly, our results demonstrate that even a single qubit in a cavity can detect a single-photon signal under realistic system parameters. We also discuss the influence of quantum properties and electrodynamical properties on the response of qubit arrays. This study provides an efficient theoretical foundation for the development and design of quantum devices with qubit arrays, especially those using cavities with explicit expressions for transmission or reflection.
JOURNAL OF APPLIED PHYSICS
(2023)
Article
Physics, Applied
D. P. Patnaik, Y. Ushakov, Z. Zhou, P. Borisov, M. D. Cropper, U. W. Wijayantha, A. G. Balanov, S. E. Savel'ev
Summary: This study found that varying temperature can efficiently control the states and charges transport of memristors, even allowing for reset when it cannot be done by varying the applied voltage.
PHYSICAL REVIEW APPLIED
(2023)
Article
Engineering, Electrical & Electronic
C. Gatti, M. Affronte, A. Balanov, C. Bonizzoni, G. Brida, F. Chiariello, N. Chikhi, G. Coda, A. D'Elia, D. Di Gioacchino, E. Enrico, I. Eremin, M. Ejrnaes, E. Il'ichev, L. Fasolo, M. Fistul, A. Ghirri, A. Greco, C. Ligi, G. Maccarone, A. Meda, P. Navez, G. Oelsner, M. Rajteri, A. Rettaroli, B. Ruggiero, S. Savel'ev, P. Silvestrini, S. Tocci, A. Ustinov, P. Vanacore, A. Zagoskin, M. Lisitskiy
Summary: We propose a novel method to detect low power microwave signals at several GHz based on the collective response of quantum states in a superconducting qubits network. Our theory predicts that the network will demonstrate a collective alternating current Stark effect even in the limit of single photon counting. We designed and tested a three-terminal SQN detector containing 10 flux qubits weakly coupled to a low-dissipative R-resonator and T-transmission line.
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY
(2023)
Article
Optics
A. Verbitskiy, A. Yulin, A. G. Balanov
Summary: We investigated the response of an optical system with Kerr nonlinearity to a periodic train of coherent pulses. The intensity of the excited field in the system was found to depend resonantly on the pulses' period. Numerical and analytical results demonstrated that the system's response is stronger when the pulse period is commensurate with the period of Bloch oscillations. Moreover, sufficiently large pulses can induce instabilities leading to chaotic Bloch oscillations of the wave-function envelope in both time and space. These instabilities are associated with period-doubling bifurcations, with a cascade of such bifurcations triggering the chaotic behavior.
Article
Chemistry, Multidisciplinary
D. P. Pattnaik, C. Andrews, M. D. Cropper, A. Gabbitas, A. G. Balanov, S. Savel'ev, P. Borisov
Summary: Gamma radiation has been found to have a novel effect on diffusive memristors based on metallic silver nanoparticles and a silica dielectric matrix. The irradiated memristors and artificial neurons made from them exhibit improved performance in terms of resistive switching and spiking frequencies. Nanoinclusions of reduced silicon distributed across the silica layer are proposed to be the backbone for the formation of conductive filaments.
Article
Materials Science, Multidisciplinary
Samane Kalhor, Sergey Savel'ev, Kaveh Delfanazari
Summary: The study describes the engineering of ultrastrong light-matter interactions in a deeply subwavelength microcavity array. By altering the width of the microcavities, the cross-behavior of ultrastrong coupling can be achieved. The research shows that the normalized Rabi splitting is independent of temperature in the BSCCO superconducting regime.
Article
Mathematics, Interdisciplinary Applications
Bo Li, Tian Huang
Summary: This paper proposes an approximate optimal strategy based on a piecewise parameterization and optimization (PPAO) method for solving optimization problems in stochastic control systems. The method obtains a piecewise parameter control by solving first-order differential equations, which simplifies the control form and ensures a small model error.
CHAOS SOLITONS & FRACTALS
(2024)
Article
Mathematics, Interdisciplinary Applications
Guram Mikaberidze, Sayantan Nag Chowdhury, Alan Hastings, Raissa M. D'Souza
Summary: This study explores the collective behavior of interacting entities, focusing on the co-evolution of diverse mobile agents in a heterogeneous environment network. Increasing agent density, introducing heterogeneity, and designing the network structure intelligently can promote agent cohesion.
CHAOS SOLITONS & FRACTALS
(2024)
Article
Mathematics, Interdisciplinary Applications
Gengxiang Wang, Yang Liu, Caishan Liu
Summary: This investigation studies the impact behavior of a contact body in a fluidic environment. A dissipated coefficient is introduced to describe the energy dissipation caused by hydrodynamic forces. A new fluid damping factor is derived to depict the coupling between liquid and solid, as well as the coupling between solid and solid. A new coefficient of restitution (CoR) is proposed to determine the actual physical impact. A new contact force model with a fluid damping factor tailored for immersed collision events is proposed.
CHAOS SOLITONS & FRACTALS
(2024)
