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While the complementary metal-oxide semiconductor (CMOS) technology is the mainstream for the hardware implementation of neural networks, we explore an alternative route based on a new class of spiking oscillators we call thermal…

Emerging Technologies · Computer Science 2023-10-09 Erbin Qiu , Yuan-Hang Zhang , Massimiliano Di Ventra , Ivan K. Schuller

Neuromorphic circuits mimic partial functionalities of brain in a bio-inspired information processing sense in order to achieve similar efficiencies as biological systems. While there are common mathematical models for neurons, which can be…

Emerging Technologies · Computer Science 2017-09-26 Enver Solan , Karlheinz Ochs

Memristors have been positioned at the forefront of the purposes for carrying out neuromorphic computation. Their tuneable conductivity properties enable the imitation of synaptic behaviour. Multipore nanofluidic memristors have shown their…

Applied Physics · Physics 2024-09-17 Agustin Bou , Patricio Ramirez , Juan Bisquert

The electrical properties of thin TiO2 films have recently been extensively exploited towards enabling a variety for metal-oxide electron devices: unipolar/bipolar semiconductor devices and/or memristors. In such efforts, investigations on…

Applied Physics · Physics 2017-12-13 L. Michalas , A. Khiat , S. Stathopoulos , T. Prodromakis

Memristor-aided logic (MAGIC) design style holds a high promise for realizing digital logic-in-memory functionality. The ability to implement a specific gate in a MAGIC design style hinges on the SET-to-RESET threshold ratio. The TaOx…

Nanofluidic memristors have demonstrated great potential for neuromorphic system applications with the advantages of low energy consumption and excellent biocompatibility. Here, an effective way is developed to regulate the memristive…

Chemical Physics · Physics 2025-10-21 Zhe Liu , Hongwen Zhang , Di Liu , Tianyi Sui , Yinghua Qiu

Controllable quantized conductance states of TiN/Ti/HfO$_x$/TiN memristors are realized with great precision through a pulse-mode reset procedure, assisted with analytical differentiation of the condition of the set procedure, which…

Mesoscale and Nanoscale Physics · Physics 2021-09-29 Min-Hsuan Peng , Ching-Yang Pan , Hao-Xuan Zheng , Ting-Chang Chang , Pei-hsun Jiang

Spin-orbitronic devices can integrate memory and logic by exploiting spin-charge interconversion (SCI), which is optimized by design and materials selection. In these devices, such as the magnetoelectric spin-orbit (MESO) logic, interfaces…

The exploration of memristors' behavior at cryogenic temperatures has become crucial due to the growing interest in quantum computing and cryogenic electronics. In this context, our study focuses on the characterization at cryogenic…

In this paper, we present the numerical analysis and simulations of a multi-dimensional memristive device model. Memristive devices and memtransistors based on two-dimensional (2D) materials have demonstrated promising potential for…

HfO2-based ferroelectric films have attracted considerable attention as their nanoscale ferroelectricity and compatibility with cmos technology, fulfilling demands of emerging memory technologies. However, as films scale down,…

Tuneable capacitors are vital for adaptive and reconfigurable electronics, yet existing approaches require continuous bias or mechanical actuation. Here we demonstrate a voltage-programmable ferroelectric memcapacitor based on HfZrO that…

We investigate the switching kinetics of oxygen vacancies (Ov) diffusion in LPCMO-Ag memristive interfaces by performing experiments on the temperature dependence of the high resistance (HR) state under thermal cycling. Experimental results…

Mesoscale and Nanoscale Physics · Physics 2014-05-08 P. Stoliar , M. J. Sánchez , G. A. Patterson , P. I. Fierens

Novel electronic systems forming at oxide interfaces comprise a class of new materials with a wide array of potential applications. A high mobility electron system forms at the LaAlO$_3$/SrTiO$_3$ interface and, strikingly, both…

Mesoscale and Nanoscale Physics · Physics 2015-05-13 Lu Li , C. Richter , S. Paetel , T. Kopp , J. Mannhart , R. C. Ashoori

Memristive reservoirs draw inspiration from a novel class of neuromorphic hardware known as nanowire networks. These systems display emergent brain-like dynamics, with optimal performance demonstrated at dynamical phase transitions. In…

Disordered Systems and Neural Networks · Physics 2023-06-23 Ruomin Zhu , Jason K. Eshraghian , Zdenka Kuncic

Control over the novel quantum states that emerge from non-equilibrium conditions is of both fundamental and technological importance. Metastable charge density wave (CDW) states are particularly interesting as their electrical manipulation…

Materials made from active, living, or robotic components can display emergent properties arising from local sensing and computation. Here, we realize a freestanding active metabeam with piezoelectric elements and electronic feed-forward…

Applied Physics · Physics 2021-10-14 Yangyang Chen , Xiaopeng Li , Colin Scheibner , Vincenzo Vitelli , Guoliang Huang

In complex transition metal oxide heterostructures of physically dissimilar perovskite compounds, interface phenomena can lead to novel physical properties not observed in either of their constituents. This remarkable feature opens new…

Strongly Correlated Electrons · Physics 2011-12-30 Natalia Pavlenko , Thilo Kopp

Brain dynamics can exhibit narrow-band nonlinear oscillations and multistability. For a subset of disorders of consciousness and motor control, we hypothesize that some symptoms originate from the inability to spontaneously transition from…

Neurons and Cognition · Quantitative Biology 2020-06-24 Ian D. Jordan , Il Memming Park

Memristors have demonstrated immense potential as building blocks in future adaptive neuromorphic architectures. Recently, there has been focus on emulating specific synaptic functions of the mammalian nervous system by either tailoring the…

Disordered Systems and Neural Networks · Physics 2018-04-19 Taimur Ahmed , Sumeet Walia , Edwin Mayes , Rajesh Ramanathan , Vipul Bansal , Madhu Bhaskaran , Sharath Sriram , Omid Kavehei
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