Sökresultat

Lattice Boltzmann Modeling of Advection-Diffusion Transport with Electrochemical Reactions

Lattice Boltzmann method (LBM) is a method that can be used to capture the detailed activities of the transport processes at microscale. Here LBM is used to model the porous anode for an anode-supported Solid Oxide Fuel Cell (SOFC). The purpose of this study is to investigate the effects of electrochemical reactions on the transport processes by a 3D model at microscale. A porous 3D modeling domai

Gullberg och Adams poetiska gärning

The deadlock between language and ego

The Helsingborg Statement on Sustainable Tourism

The Urban Water System - A Future Perspective

Economic Performance and Networks: Political Careers in China’s M-Form State

The slumber of Images. Anders Kreuger Interwievs Joachim Koester

Vetenskaplig granskning av "Sjia-muslimske ritualer: arena för fromhet, politikk och sosialt engasjement"

Crystalline properties and applications of II-V nanowires

EG-rättsliga synpunkter på användning av medborgarskapet som anknytningsmoment i den internationella familjerätten

Leonardo E-GIS project and the Lund University LUMA-GIS Master’s Program, 2002-2005: Development and Implementation

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Jurister förstår inte barn

Stress development in drying timber. A theoretical description

Qualitative inquiry into jazz improvisers' usage of the rich intermedial 'storytelling' metaphor

Elliptic flow measurements with the PHENIX detector.

Multi-agent gradient climbing via extremum seeking control

A unified framework based on discrete-time gradient-based extremum seeking control is proposed to localise an extremum of an unknown scalar field distribution using a group of equipped with sensors. The controller utilises estimates of gradients of the field from local dithering sensor measurements collected by the mobile agents. It is assumed that distributed coordination which ensures uniform as

Hypnotizability, dissociation, and belief in psi as predictors of performance in a precognition task

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Uncertainties in predicting tourist travel flows: common ground and research needs