Results 101 to 110 of about 29,606 (263)
On the Averaging Principle for Fuzzy Fractional Stochastic Differential Equations
This paper aims to extend the averaging principle for first order fuzzy stochastic differential equations to Riemann–Liouville fuzzy fractional stochastic differential equations, addressing the research gap in this field.
Wenwen Luo, Rui Liu
doaj +1 more source
We demonstrate a neuromorphic synapse in 2D Fe3GaTe2 flakes. The device operates via a current‐driven transformation from a skyrmion‐lattice to a stripe‐domain state, yielding a linear anomalous Hall resistance response with a tunable slope to enable multiply‐accumulate operations. Simulations confirm its viability in artificial neural networks.
Jixiang Huang +20 more
wiley +1 more source
This work is mainly concerned with the exponential stability of time-changed stochastic functional differential equations with Markovian switching. By expanding the time-changed Itô formula and the Razumikhin theorem, we obtain the exponential stability ...
Zhang Xiaozhi, Yuan Chenggui
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Spatio-temporal stochastic differential equations for crime incidence modeling. [PDF]
Calatayud J, Jornet M, Mateu J.
europepmc +1 more source
A Nb‐proximitized Josephson junction based on a WTe2/α‐Fe2O3 heterostructure exhibits a robust superconducting diode effect with programmable polarity. The diode direction can be trained by magnetic fields and switched by temperature cycling, revealing tunable finite‐momentum pairing states and competing superconducting states in symmetry‐broken ...
Enze Zhang +9 more
wiley +1 more source
Sparse inference and active learning of stochastic differential equations from data. [PDF]
Huang Y, Mabrouk Y, Gompper G, Sabass B.
europepmc +1 more source
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
This paper introduces higher-order solutions of the stochastic nonlinear differential equations with the Wiener-Hermite expansion and perturbation (WHEP) technique.
Mohamed A. El-Beltagy +1 more
doaj +1 more source
Modeling noisy time-series data of crime with stochastic differential equations. [PDF]
Calatayud J, Jornet M, Mateu J.
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source

