Results 41 to 50 of about 658,048 (195)
Pinched Hysteresis Loops is the Fingerprint of Memristive Devices
, 2012 This short note clarifies that the "pinched hysteresis loop" fingerprint of a memristor, or a memristive device, must hold for all amplitudes, for all frequencies, and for all initial conditions, of any periodic testing waveform, such as sinusoidal or triangular signals, which assumes both positive and negative values over each period of the waveform ...
Kim, Hyongsuk +2 more
openaire +2 more sources
, 2023 Inelastic (dissipative) effects of different natures in lipid bilayer membranes can lead to hysteresis phenomena. Early, it was shown that lipid bilayer membranes, under the action of a periodic sinusoidal voltage, demonstrate pinched-hysteresis loops in
Anosov, Andrey A. +3 more
core +1 more source
Neuromorphic Oscillators and Electronic Implementation of One Novel MFNN Model
IEEE Access, 2023 Exploring the equivalent mathematical and physical representation of biological neurons is one of the most essential tasks for building the complex neural systems and networks.
Yue Liu +4 more
doaj +1 more source
A Novel Generalized Memristor Based on Three-Phase Diode Bridge Rectifier
Complexity, 2019 Memristive characteristics in three-phase diode bridge rectifier circuit are proposed in this paper. The conduction of the diodes is discussed and the characteristics of the pinched hysteresis loop are analyzed by both numerical simulations and circuit ...
Chaojun Wu +4 more
doaj +1 more source
Sensors, 2023 In recent times, much-coveted memristor emulators have found their use in a variety of applications such as neuromorphic computing, analog computations, signal processing, etc.
Sadaf Tasneem +3 more
doaj +1 more source
Extended and Generic Higher-Order Elements for MEMS Modeling
Sensors, 2022 State-dependent resistors, capacitors, and inductors are a common part of many smart engineering solutions, e.g., in MEMS (Micro-Electro-Mechanical Systems) sensors and actuators, Micro/NanoMachines, or biomimetic systems. These memory elements are today
Zdeněk Biolek +3 more
doaj +1 more source
Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
Advanced Functional Materials, EarlyView.We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source
Thickness‐Defined Transport Regime Toward Near‐Ideal Area‐Type Switching
Advanced Materials, EarlyView.By thinning the oxide layer, memristors pass from diode‐like and battery‐effect‐dominated behavior toward eventual short‐circuit failure. Within the intermediate 5–6 nm window, they reach a near‐ideal analog area‐type switching regime, featuring symmetric hysteresis, area‐dependent conductance, and continuous linear programming of HRS and LRS with ...
Cuo Wu +12 more
wiley +1 more source
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source