Results 91 to 100 of about 50,968 (311)

Backward-Forward Stochastic Differential Equations

open access: yesThe Annals of Applied Probability, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

On stochastic differential equations and a generalised Burgers equation

open access: yes, 2012
In this paper, we discuss a link of Itˆo’s stochastic differential equa- tions to nonlinear partial differential equations of Burgers type. Un- der certain conditions, we derive a generalised Burgers equation from a stochastic differential equation.
Wu, JiangLun, Yang, Wei
core  

Template‐Confined Synthesis of Shape‐Engineered Single‐Crystal Gold Microplates in Lithographically‐Defined Polymeric Patterns

open access: yesAdvanced Functional Materials, EarlyView.
Single‐crystal gold microplates are high‐performance nanomaterials with an impressive wafer‐based application space. Progress has, however, been tempered by an inability to exert synthetic control over microplate size, shape, and positioning. In this work, control over these parameters is demonstrated using a seed‐mediated synthesis that both confines ...
Debasish Panda   +9 more
wiley   +1 more source

Two Stochastic Differential Equations for Modeling Oscillabolastic-Type Behavior [PDF]

open access: yes, 2020
Stochastic models based on deterministic ones play an important role in the description of growth phenomena. In particular, models showing oscillatory behavior are suitable for modeling phenomena in several application areas, among which the field of ...
Torres Ruiz, Francisco De Asís   +5 more
core   +1 more source

Electro‐Steric Ion Confinement in Polyelectrolyte Networks for Robust Nonvolatile Artificial Synapse

open access: yesAdvanced Functional Materials, EarlyView.
Polyelectrolyte stoichiometry governs ion transport and retention in electrolyte‐gated synaptic transistors. A PSS‐rich network creates electro‐steric ion confinement that suppresses ion back‐diffusion and stabilizes channel doping, enabling robust nonvolatile synaptic memory, linear weight updates, and low‐energy operation.
Donghwa Lee   +9 more
wiley   +1 more source

A Deep Neural Network Algorithm for Semilinear Elliptic PDEs with Applications in Insurance Mathematics

open access: yesRisks, 2020
In insurance mathematics, optimal control problems over an infinite time horizon arise when computing risk measures. An example of such a risk measure is the expected discounted future dividend payments.
Stefan Kremsner   +2 more
doaj   +1 more source

Solution‐Processed Thin‐Film Transistors With Tunable Temporal Dynamics for Neuromorphic Computing

open access: yesAdvanced Functional Materials, EarlyView.
Solution‐processed CNT and CNT/P3HT ion‐gated transistors exhibit materials‐defined synaptic timescales: fast CNT devices for high‐frequency spiking and slow hybrid devices for temporal integration. Embedding these dynamics into coupled reservoir‐computing and spiking neural network simulations reveals that a Hybrid‐Reservoir / CNT‐SNN architecture ...
Kevin Schnittker   +5 more
wiley   +1 more source

Stochastic partial differential and integro-differential equations [PDF]

open access: yes, 2015
In this work we present some new results concerning stochastic partial differential and integro-differential equations (SPDEs and SPIDEs) that appear in non-linear filtering.
Dareiotis, Anastasios Constantinos
core  

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

open access: yesAdvanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He   +5 more
wiley   +1 more source

On the almost sure running maxima of solutions of affine stochastic functional differential equations

open access: yes, 2010
This paper studies the large fluctuations of solutions of scalar and finite-dimensional affine stochastic functional differential equations with finite memory as well as related nonlinear equations.
Wu, H., Appleby, John A.D., Mao, Xuerong
core   +1 more source

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