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Memory circuit elements, namely memristive, memcapacitive and meminductive systems, are gaining considerable attention due to their ubiquity and use in diverse areas of science and technology. Their modeling within the most widely used…

Computational Physics · Physics 2016-06-24 D. Biolek , M. Di Ventra , Y. V. Pershin

This study investigates 7-methylquinolinium halobismuthates (I, Br, and Cl) in two aspects: (1) their structural and semiconducting properties influenced by anionic composition, and (2) their memristive and plasticity characteristics for…

In this paper, we show that the dynamics of a wide variety of nonlinear systems such as engineering, physical, chemical, biological, and ecological systems, can be simulated or modeled by the dynamics of memristor circuits. It has the…

Chaotic Dynamics · Physics 2019-02-22 Makoto Itoh

We consider a PDE system with degenerate hysteresis describing unsaturated flow in 3D porous media. Assuming that a time periodic forcing is prescribed on the boundary, we prove that a time periodic response exists as long as the amplitude…

Analysis of PDEs · Mathematics 2016-06-16 B. Albers , P. Krejci , E. Rocca

The traditional magnetic storage mechanisms (both analog and digital) apply an external field signal H(t) to a hysteretic magnetic material, and read the remanent magnetization M(t), which is (roughly) proportional to H(t). We propose a new…

Materials Science · Physics 2009-10-28 Olga Perkovic , James P. Sethna

Neuromorphic computing based on spiking neural networks has the potential to significantly improve on-line learning capabilities and energy efficiency of artificial intelligence, specially for edge computing. Recent progress in…

Applied Physics · Physics 2021-11-04 Yann Beilliard , Fabien Alibart

Field-effect transistors (FETs) based on 2D materials have already reached the stage of trial FAB integration. However, reliability limitations caused by various defects present a serious obstacle for their smooth way forward, especially…

Materials Science · Physics 2025-07-18 Yezhu Lv , Haihui Cai , Yehao Wu , Yu. Yu. Illarionov

Pulses applied to an inhomogeneously broadened set of harmonic oscillators, previously prepared in squeezed states, can lead to a recovery of coherence, manifesting itself as echoes, similar to those exhibited by an ensemble of spins when…

Quantum Physics · Physics 2021-01-13 Roberto Merlin , Andrea Bianchini

The dynamical mechanism underlying the processes of anesthesia-induced loss of consciousness and recovery is key to gaining insights into the working of the nervous system. Previous experiments revealed an asymmetry between neural signals…

Neurons and Cognition · Quantitative Biology 2020-04-10 Chun-Wang Su , Liang Zheng , You-Jun Li , Hai-Jun Zhou , Jue Wang , Zi-Gang Huang , Ying-Cheng Lai

Memristors offer significant advantages as in-memory computing devices due to their non-volatility, low power consumption, and history-dependent conductivity. These attributes are particularly valuable in the realm of neuromorphic circuits…

Neural and Evolutionary Computing · Computer Science 2024-07-19 Julio Souto , Guillermo Botella , Daniel García , Raúl Murillo , Alberto del Barrio

Thixotropy, anti-thixotropy, and viscoelasticity are three types of time-dependent dynamics that involve fundamentally different underlying physical processes. Yet distinguishing them can be very challenging, which hinders the understanding…

Soft Condensed Matter · Physics 2022-12-19 Yilin Wang , Randy H. Ewoldt

Reconfigurable memristors featuring neural and synaptic functions hold great potential for neuromorphic circuits by simplifying system architecture, cutting power consumption, and boosting computational efficiency. Their additive…

The ever-increasing amount of data from ubiquitous smart devices fosters data-centric and cognitive algorithms. Traditional digital computer systems have separate logic and memory units, resulting in a huge delay and energy cost for…

Applied Physics · Physics 2025-03-17 Qiming Shao , Zhongrui Wang , Yan Zhou , Shunsuke Fukami , Damien Querlioz , Leon O. Chua

A finite-element model is presented for numerical simulation in three dimensions of acoustophoresis of suspended microparticles in a microchannel embedded in a polymer chip and driven by an attached piezoelectric transducer at MHz…

Fluid Dynamics · Physics 2021-07-30 Fabian Lickert , Mathias Ohlin , Henrik Bruus , Pelle Ohlsson

This paper presents a survey of the currently available hardware designs for implementation of the human cortex inspired algorithm, Hierarchical Temporal Memory (HTM). In this review, we focus on the state of the art advances of memristive…

Hardware Architecture · Computer Science 2018-05-09 Olga Krestinskaya , Irina Dolzhikova , Alex Pappachen James

Lifelogging has become a prominent research topic in recent years. Wearable sensors like Fitbits and smart watches are now increasingly popular for recording ones activities. Some researchers are also exploring keystroke dynamics for…

Human-Computer Interaction · Computer Science 2021-11-18 Srijith Unni , Sushma Suryanarayana Gowda , Alan F. Smeaton

In Ref. [1], Minkov et al. reported measurements of the magnetic moment that remains after a magnetic field is turned on and then turned off for hydride materials under high pressure in a diamond anvil cell. In Refs. [2,3], Minkov et al.…

Superconductivity · Physics 2023-09-27 J. E. Hirsch , F. Marsiglio

Sensors and actuators based on resonant micro-electro-mechanical systems (MEMS), such as scanning micro mirrors, are well-established in automotive and consumer products. As the areas of application broaden, the requirements for the MEMS…

Applied Physics · Physics 2020-02-07 Ulrike Nabholz , Florian Stockmar , Jan E. Mehner , Peter Degenfeld-Schonburg

Vibration is an efficient way of conveying information from a device to its user, and it is increasingly used for wrist or finger-worn devices such as smart rings. Unexpected vibrations or sounds from the environment may disrupt the…

Human-Computer Interaction · Computer Science 2020-03-23 Christopher L. Asplund , Takashi Obana , Parag Bhatnagar , Xun Quan Koh , Simon T. Perrault

The field-driven magnetisation reversal processes in disordered systems exhibit a collective behaviour that is manifested in the scale-invariance of avalanches, closely related to underlying dynamical mechanisms. Using the multifractal time…

Disordered Systems and Neural Networks · Physics 2016-02-09 Bosiljka Tadic
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