Results 71 to 80 of about 653,157 (286)

Proper Generalized Decomposition for Multiscale and Multiphysics Problems

open access: yesArchives of Computational Methods in Engineering, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Néron, David, Ladevèze, Pierre
openaire   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

Two-Level Domain Decomposition Methods for Highly Heterogeneous Darcy Equations. Connections with Multiscale Methods

open access: yesOil & Gas Science and Technology, 2014
Multiphase, compositional porous media flow models lead to the solution of highly heterogeneous systems of Partial Differential Equations (PDE). We focus on overlapping Schwarz type methods on parallel computers and on multiscale methods.
Dolean Victorita   +4 more
doaj   +1 more source

Dynamic mode decomposition for multiscale nonlinear physics

open access: yesPhysical Review E, 2019
We present a data-driven method for separating complex, multiscale systems into their constituent time-scale components using a recursive implementation of dynamic mode decomposition (DMD). Local linear models are built from windowed subsets of the data, and dominant time scales are discovered using spectral clustering on their eigenvalues.
Dylewsky, Daniel   +2 more
openaire   +4 more sources

Role of the Recombination Zone in Organic Light‐Emitting Devices

open access: yesAdvanced Materials, EarlyView.
This review summarizes the critical role of the recombination zone in organic light‐emitting diodes (OLEDs). We highlight that broadening the recombination zone in OLEDs based on emissive layers with balanced charge transport and high photoluminescence quantum yields provides a promising route toward achieving both long operational lifetime and high ...
Yungui Li, Karl Leo
wiley   +1 more source

Destripe Any Scale: Effective Stripe Removal Via Multiscale Decomposition Using the Luojia3-02 Stripe-Noise Dataset

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Stripe noise is a significant challenge in remotely sensed satellite images, primarily originating from inconsistencies in push-broom scanning systems. This noise manifests as linear, repetitive patterns that degrade image quality and impede the accurate
Ru Chen   +6 more
doaj   +1 more source

Multiscale Tensor Dictionary Learning Approach for Multispectral Image Denoising

open access: yesIEEE Access, 2018
Taking advantage of different sensitivities of each component/material in an object to different bands, multispectral image (MSI) is obtained by shooting the object from multiple bands individually or simultaneously.
Lin Zhai   +4 more
doaj   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

open access: yesAdvanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair   +3 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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