Results 51 to 60 of about 88,361 (282)

Multidimensional Hierarchical Interpolation Method on Sparse Grids for the Absorption Problem

open access: yesIEEE Access, 2019
The numerical integration of multidimensional functions using some variables of the sparse grid method for the absorption problem is presented in this paper.
Xuesong Chen, Heng Mai, Lili Zhang
doaj   +1 more source

On the dispersion of sparse grids

open access: yesJournal of Complexity, 2018
For any natural number $d$ and positive number $\varepsilon$, we present a point set in the $d$-dimensional unit cube $[0,1]^d$ that intersects every axis-aligned box of volume greater than $\varepsilon$. These point sets are very easy to handle and in a vast range for $\varepsilon$ and $d$, we do not know any smaller set with this property.
openaire   +2 more sources

Synergistic Compatibilization of CsPbBr3 Perovskites and HfO2 Nanocrystals for Hybrid Sensitized Nanoscintillators

open access: yesAdvanced Functional Materials, EarlyView.
Lead halide perovskite nanocrystals are promising scintillators but suffer from reabsorption losses and limited compatibility with high‐Z additives. Hybridization of CsPbBr3 nanocrystals with PbBr2‐passivated HfO2 nanoparticle sensitizers, achieved during or after synthesis, produces stable composites with maintained optical quality, improved ...
Francesco Bruni   +17 more
wiley   +1 more source

A Boolean sum interpolation for multivariate functions of bounded variation

open access: yesFrontiers in Applied Mathematics and Statistics
This paper deals with the approximation error of trigonometric interpolation for multivariate functions of bounded variation in the sense of Hardy-Krause.
Jürgen Prestin, Yevgeniya V. Semenova
doaj   +1 more source

Computational Method for Global Sensitivity Analysis of Reactor Neutronic Parameters

open access: yesScience and Technology of Nuclear Installations, 2012
The variance-based global sensitivity analysis technique is robust, has a wide range of applicability, and provides accurate sensitivity information for most models. However, it requires input variables to be statistically independent.
Bolade A. Adetula, Pavel M. Bokov
doaj   +1 more source

1961–1990 monthly high-resolution solar radiation climatologies for Italy [PDF]

open access: yesAdvances in Science and Research, 2012
We present a methodology for estimating solar radiation climatologies from a sparse network of global radiation and/or sunshine duration records: it allows to obtain high-resolution grids of monthly normal values for global radiation (and for the direct ...
J. Spinoni   +3 more
doaj   +1 more source

Extensive Review of Materials for Next‐Generation Transparent Batteries and Their Design Strategies

open access: yesAdvanced Functional Materials, EarlyView.
Review explores emerging materials and design strategies for transparent batteries, examining electrodes, electrolytes, separators, and device architectures optimized for high electrochemical performance, mechanical flexibility, and optical transparency.
Atul Kumar Mishra   +5 more
wiley   +1 more source

Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario

open access: yes, 2018
A variety of methods is available to quantify uncertainties arising with\-in the modeling of flow and transport in carbon dioxide storage, but there is a lack of thorough comparisons.
Barth, Andrea   +10 more
core   +1 more source

Low Latency Detection of Sparse False Data Injections in Smart Grids

open access: yesIEEE Access, 2018
We study low-latency detections of sparse false data injection attacks in power grids, where an adversary can maliciously manipulate power grid operations by modifying measurements at a small number of smart meters. When a power grid is under attack, the
Israel Akingeneye, Jingxian Wu
doaj   +1 more source

Sparse Bayes Tensor and DOA Tracking Inspired Channel Estimation for V2X Millimeter Wave Massive MIMO System

open access: yesSensors, 2021
Efficient vehicle-to-everything (V2X) communications improve traffic safety, enable autonomous driving, and help to reduce environmental impacts. To achieve these objectives, accurate channel estimation in highly mobile scenarios becomes necessary ...
Kaihua Luo   +4 more
doaj   +1 more source

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