Multiscale Modeling Approach for Studying MDH-Catalyzed Methanol Oxidation

2010 ◽  
pp. 105-126
Keyword(s):  
Methanol Oxidation ◽  
Multiscale Modeling ◽  
Modeling Approach

Efficiency assessment of novel materials based flexible thermoelectric devices by a multiscale modeling approach

2015 ◽  
Vol 108 ◽  
pp. 264-269 ◽  
Author(s):  
Malika Bella ◽  
Sylvain Blayac ◽  
Christian Rivero ◽  
Valérie Serradeil ◽  
Pascal Boulet
Keyword(s):  
Multiscale Modeling ◽  
Thermoelectric Devices ◽  
Novel Materials ◽  
Modeling Approach ◽  
Efficiency Assessment ◽  
Flexible Thermoelectric

A multiscale modeling approach for the simulation of OxRRAM devices

2017 ◽  
Author(s):  
Andrea Padovani ◽  
Luca Larcher ◽  
Jiyong Woo ◽  
Hyunsang Hwang
Keyword(s):  
Multiscale Modeling ◽  
Modeling Approach

A multiscale modeling approach to scaffold design and property prediction

2010 ◽  
Vol 3 (8) ◽  
pp. 584-593 ◽  
Author(s):  
K.S. Chan ◽  
W. Liang ◽  
W.L. Francis ◽  
D.P. Nicolella
Keyword(s):  
Multiscale Modeling ◽  
Scaffold Design ◽  
Property Prediction ◽  
Modeling Approach

scholarly journals Towards multiscale modeling of ocean surface turbulent mixing using coupled MPAS-Ocean v6.3 and PALM v5.0

2021 ◽  
Vol 14 (4) ◽  
pp. 2011-2028
Author(s):  
Qing Li ◽  
Luke Van Roekel
Keyword(s):  
Multiscale Modeling ◽  
Turbulent Mixing ◽  
General Circulation ◽  
Ocean Surface ◽  
Global Ocean ◽  
Small Scale ◽  
Processing Unit ◽  
Flexible Coupling ◽  
Modeling Approach ◽  
Large Eddy

Abstract. A multiscale modeling approach for studying the ocean surface turbulent mixing is explored by coupling an ocean general circulation model (GCM) MPAS-Ocean with the Parallelized Large Eddy Simulation Model (PALM). The coupling approach is similar to the superparameterization approach that has been used to represent the effects of deep convection in atmospheric GCMs. However, the focus of this multiscale modeling approach is on the small-scale turbulent mixing and their interactions with the larger-scale processes in the ocean, so that a more flexible coupling strategy is used. To reduce the computational cost, a customized version of PALM is ported on the general-purpose graphics processing unit (GPU) with OpenACC, achieving 10–16 times overall speedup as compared to running on a single CPU. Even with the GPU-acceleration technique, a superparameterization-like approach to represent the ocean surface turbulent mixing in GCMs using embedded high fidelity and three-dimensional large eddy simulations (LESs) over the global ocean is still computationally intensive and infeasible for long simulations. However, running PALM regionally on selected MPAS-Ocean grid cells is shown to be a promising approach moving forward. The flexible coupling between MPAS-Ocean and PALM allows further exploration of the interactions between the ocean surface turbulent mixing and larger-scale processes, as well as future development and improvement of ocean surface turbulent mixing parameterizations for GCMs.

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