Results 61 to 70 of about 139,779 (280)

Existence and Stability Results for Second-Order Neutral Stochastic Differential Equations With Random Impulses and Poisson Jumps

European Journal of Mathematical Analysis, 2021
The objective of this paper is to investigate the existence and stability results of secondorder neutral stochastic functional differential equations (NSFDEs) in Hilbert space.
K. Ravikumar, K. Ramkumar, Dimplekumar Chalishajar   +2 more
doaj   +1 more source

A New Threshold Switching Device With Tunable Negative Differential Resistance Based on ErMnO3 Polymorphs

Advanced Functional Materials, EarlyView.
Polymorph engineering in ErMnO3 enables low‐voltage, forming‐free threshold switching with tunable negative differential resistance. Conducting orthorhombic regions embedded in an insulating hexagonal matrix provide controlled Joule‐heating‐enhanced Poole–Frenkel transport. The hexagonal phase prevents excessive heating and breakdown.
Rong Wu, Florian Maudet, Thanh Luan Phan, Wassim Hamouda, Richard Schroedter, Ahmet Samil Demirkol, Ronald Tetzlaff, Veeresh Deshpande, Catherine Dubourdieu   +8 more
wiley   +1 more source

Solutions for Functional Fully Coupled Forward-Backward Stochastic Differential Equations [PDF]

, 2013
In this paper, we study a functional fully coupled forward-backward stochastic differential equations (FBSDEs). Under a new type of integral Lipschitz and monotonicity conditions, the existence and uniqueness of solutions for functional fully coupled ...
Ji, Shaolin, Yang, Shuzhen
core  

Strategies for Loading and Releasing Peptide Therapeutics in Biodegradable Carriers

Advanced Functional Materials, EarlyView.
A biodegradable carrier‐based peptide delivery system is a powerful treatment platform for diverse diseases, owing to its superior therapeutic efficacy and low toxicity. This review examines the conventional peptide‐loaded carrier fabrication process and its current limitations.
Wookyoung Jang, Ki Wan Bong
wiley   +1 more source

Abstract Functional Stochastic Evolution Equations Driven by Fractional Brownian Motion

Abstract and Applied Analysis, 2014
We investigate a class of abstract functional stochastic evolution equations driven by a fractional Brownian motion in a real separable Hilbert space. Global existence results concerning mild solutions are formulated under various growth and compactness ...
Mark A. McKibben, Micah Webster
doaj   +1 more source

Global attracting set and exponential decay of second-order neutral stochastic functional differential equations driven by fBm

Advances in Difference Equations, 2017
In this paper, we are concerned with a class of second-order neutral stochastic functional differential equations driven by a fractional Brownian motion with Hurst parameter 1 / 2 < ħ < 1 $1 ...
Liping Xu, Zhi Li, Jiaowan Luo
doaj   +1 more source

Stochastic stability of solutions for a fourth-order stochastic differential equation with constant delay

Journal of Inequalities and Applications, 2023
In this paper, we present sufficient conditions to ensure the stochastic asymptotic stability of the zero solution for a specific type of fourth-order stochastic differential equation (SDE) with constant delay.
Ayman M. Mahmoud, Adebayo O. Adewumi, Adeleke T. Ademola   +2 more
doaj   +1 more source

Linear Quadratic Stochastic Optimal Control Problems with Operator Coefficients: Open-Loop Solutions

, 2019
An optimal control problem is considered for linear stochastic differential equations with quadratic cost functional. The coefficients of the state equation and the weights in the cost functional are bounded operators on the spaces of square integrable ...
Wei, Qingmeng, Yong, Jiongmin, Yu, Zhiyong   +2 more
core   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Stability Analysis of a Mathematical Model for Infection Diseases with Stochastic Perturbations

Mathematics
A well-known model of infectious diseases, described by a nonlinear system of delay differential equations, is investigated under the influence of stochastic perturbations.
Marina Bershadsky, Leonid Shaikhet
doaj   +1 more source