Results 51 to 60 of about 43,061 (301)

A Proposed Stochastic Finite Difference Approach Based on Homogenous Chaos Expansion

Journal of Applied Mathematics, 2013
This paper proposes a stochastic finite difference approach, based on homogenous chaos expansion (SFDHC). The said approach can handle time dependent nonlinear as well as linear systems with deterministic or stochastic initial and boundary conditions. In
O. H. Galal
doaj   +1 more source

Fractional Skyrmion Tubes in Chiral‐Interfaced 3D Magnetic Nanowires

Advanced Functional Materials, EarlyView.
In chiral 3D helical magnetic nanowires, the coupling between the geometric and magnetic chirality provides a way to create topological spin states like vortex tubes. Here, it is demonstrated how the breaking of this coupling in interfaced 3D nanowires of opposite chirality leads to even more complex topological spin states, such as fractional ...
John Fullerton, Naëmi Leo, Jakub Jurczyk, Claire Donnelly, Dédalo Sanz‐Hernández, Luka Skoric, Nicholas Mille, Stefan Stanescu, Donald A MacLaren, Rachid Belkhou, Aurelio Hierro‐Rodriguez, Amalio Fernández‐Pacheco   +11 more
wiley   +1 more source

On a linear stochastic differential equation

Metrika, 1970
Stochastic differential (s. d.) equations had been considered in [Nasr, 1960] and [Nasr]. We consider here, the s. d. equationf(D)x(t)=m(t)+v(t)z(t) wherem(t),v(t) are real functions oft,f(D) is a polynomial inD withD=d/dt, andz(t) is a random function.
openaire   +2 more sources

A New Memory Effect in Bulk Crystals of 1T‐TaS2

Advanced Functional Materials, EarlyView.
A new memory effect is discovered in 1T‐TaS₂, appearing as a temperature shift in the metal to insulator transition, coinciding with the recently reported ramp reversal memory. These findings imply that ramp reversal memory is an emergent phenomenon, likely to appear in many different systems that share a few basic properties, which are discussed in ...
Avital Fried, Ouriel Gotesdyner, Irena Feldman, Amit Kanigel, Amos Sharoni   +4 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Well-posedness and Ulam-Hyers stability results of solutions to pantograph fractional stochastic differential equations in the sense of conformable derivatives

AIMS Mathematics
One kind of stochastic delay differential equation in which the delay term is dependent on a proportion of the current time is the pantograph stochastic differential equation.
Wedad Albalawi, Muhammad Imran Liaqat , Fahim Ud Din, Kottakkaran Sooppy Nisar, Abdel-Haleem Abdel-Aty   +4 more
doaj   +1 more source

Stochastic invariance for hybrid stochastic differential equation with non-Lipschitz coefficients

AIMS Mathematics, 2020
In this paper, by using of the martingale property and positive maximum principle, we investigate the stochastic invariance for a class of hybrid stochastic differential equations (HSDEs) and provide necessary and sufficient conditions for the invariance
Chunhong Li, Sanxing Liu
doaj   +1 more source

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

Controlled Reflected McKean–Vlasov SDEs and Neumann Problem for Backward SPDEs

Mathematics
This paper is concerned with the stochastic optimal control problem of a 1-dimensional McKean–Vlasov stochastic differential equation (SDE) with reflection, of which the drift coefficient and diffusion coefficient can be both dependent on the state of ...
Li Ma, Fangfang Sun, Xinfang Han
doaj   +1 more source

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