Concept

Transport phenomena

Related publications (444)

MATHICSE Technical Report: Constraint-Aware Neural Networks for Riemann Problems

Neural networks are increasingly used in complex (data-driven) simulations as surrogates or for accelerating the computation of classical surrogates. In many applications physical constraints, such as mass or energy conservation, must be satised to obtain ...

MATHICSE2019

Convection in Lakes

Alfred Johny Wüest, Damien Bouffard

Lakes and other confined water bodies are not exposed to tides, and their wind forcing is usually much weaker compared to ocean basins and estuaries. Hence, convective processes are often the dominant drivers for shaping mixing and stratification structure ...

2019

Turbulent Flows over Rough Permeable Beds in Mountain Rivers: Experimental Insights and Modeling

Gauthier Paul Daniel Marie Rousseau

Steep mountain streams exhibit shallow waters with roughness elements such as stones and pebbles that are comparable in size to flow depth. Owing to the difficulty in measuring fluid velocities at the interface, i.e., from the rough permeable bed to the fr ...

EPFL2019

Continuum models of the electrochemical diffuse layer in electronic-structure calculations

Nicola Marzari, Oliviero Andreussi, Francesco Nattino, Matthew Truscott

Continuum electrolyte models represent a practical tool to account for the presence of the diffuse layer at electrochemical interfaces. However, despite the increasing popularity of these in the field of materials science, it remains unclear which features ...

AMER INST PHYSICS2019

Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling

Henri Weisen

This paper outlines an approach towards improved rigour in tokamak turbulence transport model validation within integrated modelling. Gaussian process regression (GPR) techniques were applied for profile fitting during the preparation of integrated modelli ...

IOP PUBLISHING LTD2019

Numerical investigation of the convection heat transfer driven by airflows in underground tunnels

Lyesse Laloui, Alessandro Francesco Rotta Loria, Margaux Marie Valérie Peltier

This study presents a fundamental investigation of the convection heat transfer phenomenon driven by airflows in underground tunnels, with reference to the development of the so-called thermal and velocity boundary layers. The purpose of the work is to exp ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms

Maryam Kamgarpour

Convective weather, and thunderstorm development in particular, represents a major source of disruption, delays and safety hazards in the Air Traffic Management system. Thunderstorms are challenging to forecast and evolve on relatively rapid timescales; th ...

2019

Optimizing Mesostructured Silver Catalysts for Selective Carbon Dioxide Conversion into Fuels

Sophia Haussener, Silvan Suter

Mesostructured silver catalysts have shown a substantial rise in reaction selectivity for the conversion of CO2 into fuels with increasing thickness of ordered, inverse-opal films. The challenge lies in the optimization of the morphology to maximize the CO ...

2019

Fundamental Issues, Technology Development, and Challenges of Boiling Heat Transfer, Critical Heat Flux, and Two-Phase Flow Phenomena with Nanofluids

John Richard Thome

This paper presents a comprehensive and critical review of studies on nucleate pool boiling heat transfer, flow boiling heat transfer, critical heat flux (CHF), and two-phase flow phenomena with nanofluids. First, general analysis of the available studies ...

TAYLOR & FRANCIS INC2019

Linear Response Theory and Green-Kubo Relations for Active Matter

Ignacio Pagonabarraga Mora, Sara Dal Cengio

We address the question of how interacting active systems in a nonequilibrium steady state respond to an external perturbation. We establish an extended fluctuation-dissipation theorem for active Brownian particles (ABP), which highlights the role played b ...

2019

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