Results 41 to 50 of about 41,517 (308)

Peano Theorems for Pedjeu–Ladde-Type Multi-Time Scale Stochastic Differential Equations Driven by Fractional Noises

Mathematics
This paper examines fractional multi-time scale stochastic functional differential equations that, in addition, are driven by fractional noises. Based on a specially crafted fixed-point principle for the so-called “local operators”, we prove a Peano-type
Arcady Ponosov, Lev Idels
doaj   +1 more source

On stability for numerical approximations of stochastic ordinary differential equations

Electronic Journal of Qualitative Theory of Differential Equations, 2004
Stochastic ordinary differential equations (SODE) represent physical phenomena driven by stochastic processes. Like for deterministic differential equations, various numerical schemes are proposed for SODE (see references).
R. Horváth Bokor
doaj   +1 more source

Light‐Controlled Reversible Coassembly of Hybrid Functional Nanostructures

Advanced Functional Materials, EarlyView.
Light‐responsive hybrid nanostructures are formed by coassembling azobenzene‐ and PAH‐functionalized nanoparticles through reversible an tunable π interactions. The system enables tunable coupling between distinct components such as gold and magnetite or carbon nanotubes, producing switchable optical and magnetic properties under light and magnetic ...
Michal Sawczyk, Yanxiao Han, Soumyo Sen, Bartosz Smereczyński, Petr Král, Michał M. Wójcik   +5 more
wiley   +1 more source

Ulam-Hyers-Rassias Stability of Stochastic Functional Differential Equations via Fixed Point Methods [PDF]

, 2021
Abdellatif Ben Makhlouf, Lassaad Mchiri, Mohamed Rhaima   +2 more
openalex   +1 more source

ON FUZZY STOCHASTIC DIFFERENTIAL EQUATIONS

Journal of the Korean Mathematical Society, 2005
The author considers a fuzzy stochastic differential equation containing a fuzzy valued diffusion term which is defined by a stochastic integral of a fuzzy process wrt one-dimensional Brownian motion. He develops a theory of existence and uniqueness of the solution for such systems and demonstrates how the technical machinery can be applied to ...
openaire   +2 more sources

Prospects of Electric Field Control in Perpendicular Magnetic Tunnel Junctions and Emerging 2D Spintronics for Ultralow Energy Memory and Logic Devices

Advanced Functional Materials, EarlyView.
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp, Brahmdutta Dixit, Yifei Yang, Deyuan Lyu, Thomas Peterson, Qi Jia, Yu‐Chia Chen, Jian‐Ping Wang   +7 more
wiley   +1 more source

Patterning the Void: Combining L‐Systems with Archimedean Tessellations as a Perspective for Tissue Engineering Scaffolds

Advanced Functional Materials, EarlyView.
This study introduces a novel multi‐scale scaffold design using L‐fractals arranged in Archimedean tessellations for tissue regeneration. Despite similar porosity, tiles display vastly different tensile responses (1–100 MPa) and deformation modes. In vitro experiments with hMSCs show geometry‐dependent growth and activity. Over 55 000 tile combinations
Maria Kalogeropoulou, Kenny A. van Kampen, Pierpaolo Fucile, Carlos Mota, Lorenzo Moroni   +4 more
wiley   +1 more source

Almost Surely Exponential Stability of Numerical Solutions for Stochastic Pantograph Equations

Abstract and Applied Analysis, 2014
Our effort is to develop a criterion on almost surely exponential stability of numerical solution to stochastic pantograph differential equations, with the help of the discrete semimartingale convergence theorem and the technique used in stable analysis ...
Shaobo Zhou
doaj   +1 more source

Stochastic parareal algorithm for stochastic differential equations

Numerical Algorithms
This paper analyzes the SParareal algorithm for stochastic differential equations (SDEs). Compared to the classical Parareal algorithm, the SParareal algorithm accelerates convergence by introducing stochastic perturbations, achieving linear convergence over unbounded time intervals.
Wang, Huanxin, Lyu, Junhan, Peng, Zicheng, Li, Min   +3 more
openaire   +2 more sources

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source