Results 91 to 100 of about 240,259 (289)
Exciton Binding Energy Modulation in 2D Perovskites: A Phenomenological Keldysh Framework
Advanced Functional Materials, EarlyView.The intrinsic screening effects are successfully decoupled from structural distortion by rigorously designing a series of 2D perovskites. This enabled us to demonstrate how the dielectric environment modulates the quasiparticle bandgap and exciton binding energy.
Kitae Kim +15 more
wiley +1 more source
Stability and Synchronization of Delayed Quaternion-Valued Neural Networks under Multi-Disturbances
MathematicsThis paper discusses a type of mixed-delay quaternion-valued neural networks (QVNNs) under impulsive and stochastic disturbances. The considered QVNNs model are treated as a whole, rather than as complex-valued neural networks (NNs) or four real-valued ...
Jibin Yang +4 more
doaj +1 more source
Journal of Applied Mathematics, 2014 This work addresses the stability study for stochastic cellular neural networks with time-varying delays. By utilizing the new research technique of the fixed point theory, we find some new and concise sufficient conditions ensuring the existence and ...
Tianxiang Yao, Xianghong Lai
doaj +1 more source
Advances in Difference Equations, 2019 The paper investigates mean-square exponential stabilization for a class of nonlinear switched stochastic systems with interval time-varying delay under asynchronous switching.
Yongzhao Wang
doaj +1 more source
Advanced Functional Materials, EarlyView.Fluorescent nanodiamonds (fNDs) have emerged as an invaluable quantum sensing platform for biological and biochemical systems. This paper investigates the influence of common surface functionalization strategies for bioconjugation on the quantum properties of nitrogen vacancy (NV) centers in nanodiamonds.
Anja Sadžak +6 more
wiley +1 more source
Systems Science & Control Engineering, 2018 In this paper, we solve the mean-square exponential input-to-state stability problem for a class of stochastic delayed recurrent neural networks with time-varying coefficients.
Wentao Wang, Shuhua Gong, Wei Chen
doaj +1 more source
Using the Photostationary State of Arylazopyrazoles to Control Phase Transitions of Liquid Crystals
Advanced Functional Materials, EarlyView.A series of new arylazopyrazole photoswitches is designed as dopants for liquid crystalline materials. Unprecedented, the distribution of photoisomers at the photostationary state upon irradiation with light of specific wavelengths (365, 460, 520 nm) is used to control the liquid crystalline phase transitions under isothermal conditions, including ...
Tobias Thiele +3 more
wiley +1 more source
Dynamic Analysis of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays
Advances in Difference Equations, 2009 Stochastic effects on convergence dynamics of reaction-diffusion Cohen-Grossberg neural networks (CGNNs) with delays are studied. By utilizing Poincaré inequality, constructing suitable Lyapunov functionals, and employing the method of stochastic ...
Pan Jie, Zhong Shouming
doaj +2 more sources
Electron–Matter Interactions During Electron Beam Nanopatterning
Advanced Functional Materials, EarlyView.This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima +2 more
wiley +1 more source
Exponential Stability in Mean Square of Stochastic Neural Networks with Delays
IFAC Proceedings Volumes, 1997 Abstract In this paper we shall dicuss the exponential stability in mean square for a stochastic neural network with delays of the form dx ( t ) = [— Bx ( t ) + Ag ( x (t))] dt + σ( x ( t ), g ( x (t))dω( t ). In the case when σ( х , у ) ≡ 0 the stochastic network becomes a deterministic network with deladys ů ( t ) = — Bx ( t ) + Ag ( x (t)).
X.X. Liao, X. Mao
openaire +1 more source