Results 61 to 70 of about 5,785 (299)

SPICE‐Compatible Compact Modeling of Cuprate‐Based Memristors Across a Wide Temperature Range

Advanced Electronic Materials, EarlyView.
A physics‐guided compact model for YBCO memristors is introduced, incorporating carrier trapping, field‐induced detrapping, and a differential balance equation to describe their switching dynamics. The model is compared with experiments and implemented in LTspice, allowing realistic circuit‐level simulations.
Thomas Günkel, Aleix Barrera, Lluís Balcells, Narcís Mestres, Enrique Miranda, Anna Palau, Jordi Suñé   +6 more
wiley   +1 more source

Silicon Nitride Resistive Memories

Advanced Electronic Materials, EarlyView.
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis, Nikolaos Vasileiadis, Iosif‐Angelos Fyrigos, Emmanouil Stavroulakis, Caroline Bonafos, Pascal Normand, Georgios Ch. Sirakoulis, Panagiotis Dimitrakis   +7 more
wiley   +1 more source

Discrete Neumann boundary value problem for a nonlinear equation with singular ϕ-Laplacian

Advances in Difference Equations, 2018
Let I ⊂ R $I\subset\mathbb{R}$ be an open interval with 0 ∈ I $0\in I$ , and let g ∈ C 1 ( I , ( 0 , + ∞ ) ) $g\in C^{1}(I, (0,+\infty))$ . Let N ∈ N $N\in\mathbb{N}$ be an integer with N ≥ 4 $N\geq4$ , [ 2 , N − 1 ] Z : = { 2 , 3 , … , N − 1 } $[2, N-1 ...
Man Xu, Ruyun Ma
doaj   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Resonant problem for a class of BVPs on the half-line

Electronic Journal of Qualitative Theory of Differential Equations, 2009
We provide an existence result for a Neumann nonlinear boundary value problem posed on the half-line. Our main tool is the multi-valued version of the Miranda Theorem.
Toufik Moussaoui, Katarzyna Szymanska-Debowska   +1 more
doaj   +1 more source

Constant-sign solutions for a nonlinear Neumann problem involving the discrete p-Laplacian [PDF]

Opuscula Mathematica, 2014
In this paper, we investigate the existence of constant-sign solutions for a nonlinear Neumann boundary value problem involving the discrete \(p\)-Laplacian. Our approach is based on an abstract local minimum theorem and truncation techniques.
Pasquale Candito, Giuseppina D'Aguí
doaj   +1 more source

Localized boundary-domain singular integral equations based on harmonic parametrix for divergence-form elliptic PDEs with variable matrix coefficients

, 2013
This is the post-print version of the Article. The official publised version can be accessed from the links below. Copyright @ 2013 Springer BaselEmploying the localized integral potentials associated with the Laplace operator, the Dirichlet, Neumann and
Mikhailov, SE, Natroshvili, D, Chkadua, O   +2 more
core   +1 more source

The Neumann problem in graph Lipschitz domain in the plane

, 2022
We study new aspects of the solvability of the classical Neumann boundary value problem in a graph Lipschitz domain in the plane. When the domain is the upper half-plane, the boundary data is assumed to belong to weighted Lebesgue or weighted Lorentz ...
Ortiz Caraballo, Carmen, Carro Rossell, María Jesús, Naibo, Virginia   +2 more
core   +1 more source

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source

Liapunov-type inequalities and Neumann boundary value problems at resonance [PDF]

Mathematical Inequalities & Applications, 2005
The paper is concerned with the study of a space-dependent second-order equation with Neumann boundary conditions. First, the authors carry out a careful analysis of the associated linear problem. Using some Lyapunov type estimates, they manage to evaluate the \( \mathcal{L}^p\) norm of the smallest coefficient function for which the linear problem ...
Cañada, A., Montero, J. A., Villegas, S.   +2 more
openaire   +2 more sources