Results 201 to 210 of about 292,208 (265)

Unveiling Multidimensional Physicochemical Design Principles for Tissue Processing Hydrogels

open access: yesAdvanced Functional Materials, EarlyView.
This study establishes a materials‐based design framework for polymer hydrogels in tissue clearing, linking physicochemical properties to performance in tissue processing, labeling, and imaging. By analyzing rheology, swelling, porosity, antibody diffusion, mechanical performance, and thermochemical stability across platforms, this work provides a ...
Sangjae Kim   +8 more
wiley   +1 more source

Organometallic Precursor‐Induced Gradient Architecture on Multilayer Nanoporous Graphene Membranes for Precise Organic Solvent Nanofiltration

open access: yesAdvanced Functional Materials, EarlyView.
Alumina growth narrows surface pores and seals non‐selective defects, enhancing selectivity while preserving the nanoporous graphene architecture. Additionally, the deposition enables gradient‐controlled structural modification, with intergrown alumina acting as a physical cross‐linker that stabilizes the laminar structure.
Junhyeok Kang   +8 more
wiley   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

open access: yesAdvanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim   +10 more
wiley   +1 more source
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Domain decomposition method (DDM)

2023
This chapter concerns the use of domain decomposition (DD) methods for the surface integral equation (SIE)-based solution of time-harmonic electromagnetic wave problems. DD methods have attracted significant attention for solving partial differential equations.
Martin, Victor F.   +4 more
openaire   +2 more sources

PROJECTION DOMAIN DECOMPOSITION METHOD

Mathematical Models and Methods in Applied Sciences, 1994
A domain decomposition method using the projection approach is considered. The original elliptic problem is transformed to a set of analogous problems in subdomains and an abstract equation on the interface between subdomains, the latter being solved using Galerkin projection method with some special basis functions defined on the interface.
Agoshkov, V. I., Ovchinnikov, E.
openaire   +2 more sources

ADI method – Domain decomposition

Applied Numerical Mathematics, 2006
A domain decomposition algorithm which is based on an implicit prediction and fully implicit scheme for the interior values, for solving parabolic partial differential equations, is presented. It is shown that this algorithm without the correction procedure is unconditionally stable.
Jun, Younbae, Mai, Tsun-Zee
openaire   +1 more source

On Rutenberg's Decomposition Method

Management Science, 1974
David P. Rutenberg [Rutenberg, David P. 1970. Generalized networks, generalized upper bounding and decomposition of the convex simplex methods. Management Sci. 16 (5) 388–401.] provided a method to solve separable nonlinear objective functions with large-scale linear constraints by using W. I. Zangwill's Convex Simplex Method [Zangwill, W. L.
openaire   +1 more source

The Facial Decomposition Method

Journal of the Operational Research Society, 1973
This note presents a brute force approach to linearly constrained programming in non-convex optimization; our aim here is to illustrate a general methodology which can be applied to construct tailor-made algorithms in specific applications.
openaire   +1 more source

Subgroup decomposition method

Annals of Nuclear Energy, 2012
Abstract This paper presents a new method which is an improvement over the consistent generalized energy condensation theory in which the energy dependence of the angular flux and cross sections is expanded in continuous or discrete orthogonal basis functions.
Steven Douglass, Farzad Rahnema
openaire   +1 more source

Domain Decomposition Methods

2002
Domain decomposition is a major focus of contemporary research in numerical analysis of partial differential equations. Among the reasons for considering domain decomposition are: parallel computing, modeling of different physical phenomena in different subregions and complicated geometries, and its solid and elegant theoretical foundation.
openaire   +1 more source

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