Results 91 to 100 of about 327,410 (288)

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Stochastic analysis and soliton solutions of the Chaffee–Infante equation in nonlinear optical media

Boundary Value Problems
The Chaffee–Infante (CI) equation is a nonlinear equation that may be used to predict the complex dynamics of soliton propagation in a nonlinear optical medium.
Alwaleed Kamel, Hanen Yossef Louati, Khaled Aldwoah, Faez Alqarni, Mohammed Almalahi, Manel Hleili   +5 more
doaj   +1 more source

Monte Carlo Simulation of Stochastic Differential Equation to Study Information Geometry. [PDF]

Entropy (Basel), 2022
Thiruthummal AA, Kim EJ.
europepmc   +1 more source

Forward–backward stochastic differential equations with delay generators

, 2022
Auguste Aman, Harouna Coulibaly, Jasmina Ðorđević   +2 more
openalex   +2 more sources

Lithium Intercalation in the Anisotropic Van Der Waals Semiconductor CrSBr

Advanced Functional Materials, EarlyView.
We report the lithium intercalation in the layered van der Waals crystal CrSBr, revealing strongly anisotropic ion‐migration dynamics. Optical and electrical characterization of exfoliated CrSBr shows lithium diffusion coefficients that differ by more than an order of magnitude along a‐ and b‐directions, consistent with molecular dynamics simulations ...
Kseniia Mosina, Aljoscha Söll, Jiří Šturala, Martin Veselý, Petr Levinsky, Ondřej Kaman, Florian Dirnberger, Giuliana Materzanini, Nicola Marzari, Gian‐Marco Rignanese, Borna Radatović, Vlastimil Mazánek, David Sedmidubský, Zdeněk Sofer   +13 more
wiley   +1 more source

Backward Stochastic Linear Quadratic Optimal Control with Expectational Equality Constraint

Mathematics
This paper investigates a backward stochastic linear quadratic control problem with an expected-type equality constraint on the initial state. By using the Lagrange multiplier method, the problem with a uniformly convex cost functional is first ...
Yanrong Lu, Jize Li, Yonghui Zhou
doaj   +1 more source

Stochastic Functional Differential Equation under Regime Switching

Discrete Dynamics in Nature and Society, 2012
We discuss stochastic functional differential equation under regime switching dx(t)=f(xt,r(t),t)dt+q(r(t))x(t)dW1(t)+σ(r(t))|x(t)|βx(t)dW2(t). We obtain unique global solution of this system without the linear growth condition; furthermore, we prove its ...
Ling Bai, Zhang Kai
doaj   +1 more source

Source time functions of earthquakes based on a stochastic differential equation. [PDF]

Sci Rep, 2022
Hirano S.
europepmc   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Hybrid Neural Networks for Solving Fully Coupled, High-Dimensional Forward–Backward Stochastic Differential Equations

Mathematics
The theory of forward–backward stochastic differential equations occupies an important position in stochastic analysis and practical applications. However, the numerical solution of forward–backward stochastic differential equations, especially for high ...
Mingcan Wang, Xiangjun Wang
doaj   +1 more source