Results 131 to 140 of about 732,831 (345)

Highly Luminous Scintillating Nanocomposites Enable Ultrafast Time Coincidence Resolution for γ‐rays Detection with Heterostructured Multilayer Scintillators

open access: yesAdvanced Functional Materials, Volume 35, Issue 17, April 25, 2025.
A scintillating polymeric composites loaded with hafnia nanoparticles is engineered to obtain a highly luminous material, thus achieving a 400% improvement of the scintillation yield under soft X‐rays. The nanocomposite is employed to realize a multilayer heterostructured prototype scintillator than enable for ultrafast time coincidence resolution in ...
Matteo Sala   +12 more
wiley   +1 more source

Markov Perfect Nash Equilibrium in stochastic differential games as solution of a generalized Euler Equations System [PDF]

open access: yes
This paper gives a new method to characterize Markov Perfect Nash Equilibrium in stochastic differential games by means of a set of Generalized Euler Equations.
Juan Pablo Rincón-Zapatero   +1 more
core  

Smooth Solutions of Non-linear Stochastic Partial Differential Equations [PDF]

open access: yesarXiv, 2008
In this paper, we study the regularities of solutions of nonlinear stochastic partial differential equations in the framework of Hilbert scales. Then we apply our general result to several typical nonlinear SPDEs such as stochastic Burgers and Ginzburg-Landau's equations on the real line, stochastic 2D Navier-Stokes equations in the whole space and a ...
arxiv  

Multielement Filament Memristor Enabling Multifunctional Neuromorphic Device

open access: yesAdvanced Functional Materials, EarlyView.
A new type of memristor featuring a hybrid mechanism and multifunctional applications is introduced. The proposed single device combines the alloy metal filament with the oxygen vacancy filament to achieve both resistive and threshold switching with enhanced reliability, mimicking both biological synapses and nociceptors. This study shows that filament‐
Mingu Jang   +4 more
wiley   +1 more source

Parametric Estimation in Fractional Stochastic Differential Equation

open access: yesStats
Fractional Stochastic Differential Equations are becoming more popular in the literature as they can model phenomena in financial data that typical Stochastic Differential Equations models cannot.
Paramahansa Pramanik   +2 more
doaj   +1 more source

Roulette‐Inspired Physical Unclonable Functions: Stochastic yet Deterministic Multi‐Bit Patterning through the Solutal Marangoni Effect

open access: yesAdvanced Functional Materials, EarlyView.
Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho   +8 more
wiley   +1 more source

Temperature‐Resilient Polymeric Memristors for Effective Deblurring in Static and Dynamic Imaging

open access: yesAdvanced Functional Materials, EarlyView.
A thermally stable organic memristor based on a thiadiazolobenzotriazole (TBZ) and 2,5‐Dioctyl‐3,6‐di(thiophen‐2‐yl)pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione (DPP)‐based conjugated polymer is presented, demonstrating reliable, gradual resistance switching across a wide temperature range (153–573 K).
Ziyu Lv   +15 more
wiley   +1 more source

Semilinear stochastic partial differential equations: central limit theorem and moderate deviations [PDF]

open access: yesarXiv, 2019
In this paper, we establish a central limit theorem (CLT) and the moderate deviation principles (MDP) for a class of semilinear stochastic partial differential equations driven by multiplicative noise on a bounded domain. The main results can be applied to stochastic partial differential equations of various types such as the stochastic Burgers ...
arxiv  

Active Learning‐Driven Discovery of Sub‐2 Nm High‐Entropy Nanocatalysts for Alkaline Water Splitting

open access: yesAdvanced Functional Materials, EarlyView.
High‐entropy nanoparticles (HENPs) hold great promise for electrocatalysis, yet optimizing their compositions remains challenging. This study employs active learning and Bayesian Optimization to accelerate the discovery of octonary HENPs for hydrogen and oxygen evolution reactions.
Sakthivel Perumal   +5 more
wiley   +1 more source

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