Results 81 to 90 of about 18,707 (285)

Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN

open access: yesAdvanced Functional Materials, EarlyView.
Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk   +6 more
wiley   +1 more source

Convex Optimization of Markov Decision Processes Based on Z Transform: A Theoretical Framework for Two-Space Decomposition and Linear Programming Reconstruction

open access: yesMathematics
This study establishes a novel mathematical framework for stochastic maintenance optimization in production systems by integrating Markov decision processes (MDPs) with convex programming theory.
Shiqing Qiu   +4 more
doaj   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

Optimization of Rendering Parameters of Cesium 3DTiles Model Based on Differential Evolution Algorithm

open access: yesApplied Sciences
Cesium is an open-source 3D virtual earth engine based on WebGL and one of the most widely used 3D GIS engines. The 3DTiles rendering parameters in Cesium improve rendering efficiency but involve numerous data types and complex interdependencies, making ...
Doujun Zhang   +4 more
doaj   +1 more source

Generalized ?m-Statistical Convergence in Probabilistic Normed Space

open access: yes, 2011
In this paper we define the concepts of S-Delta m(lambda) -statistical convergence and S-Delta m(lambda) -statistically Cauchy in probabilistic normed space and give some results. The main purpose of this paper is to generalize the results on statistical
Esi, Ayhan, Ozdemir, M. Kemal
core  

Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies

open access: yesAdvanced Functional Materials, EarlyView.
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley   +1 more source

T-regular probabilistic convergence spaces

open access: yes, 1998
A probabilistic convergence structure assigns a probability that a given filter converges to a given element of the space. The role of the t-norm (triangle norm) in the study of regularity of probabilistic convergence spaces is investigated.

core  

Enhancement of Dielectric Breakdown Strength and Recoverable Energy Density in Three‐Dimensional Heterointerfaces on BaTiO3–PbZrO3–PbTiO3 Films via Room‐Temperature Nano‐Clustering

open access: yesAdvanced Functional Materials, EarlyView.
A room‐temperature aerosol deposition process yields multiphase nano‐clustered dielectric capacitors containing discrete BaTiO3, PbZrO3, and PbTiO3 crystals. This architecture creates three‐dimensional heterointerfaces that induce interfacial charge trapping and effectively inhibit breakdown propagation.
Hyunseok Song   +8 more
wiley   +1 more source

An RBF-LOD Method for Solving Stochastic Diffusion Equations

open access: yesJournal of Mathematics
In this study, we introduce an innovative approach to solving stochastic equations in two and three dimensions, leveraging a time-splitting strategy. Our method combines radial basis function (RBF) spatial discretization with the Crank–Nicolson scheme ...
Samaneh Mokhtari   +3 more
doaj   +1 more source

CoEGAN-BO: Synergistic Co-Evolution of GANs and Bayesian Optimization for High-Dimensional Expensive Many-Objective Problems

open access: yesMathematics
Bayesian optimization (BO) struggles with data scarcity and poor scalability in high-dimensional many-objective optimization problems. To address this, we propose Co-Evolutionary GAN–Bayesian Optimization (CoEGAN-BO), a novel framework that synergizes ...
Jie Tian   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy