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RandomMultiScales SIGNED

Computational Random Multiscale Problems

Total Cost €

0

EC-Contrib. €

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Partnership

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 RandomMultiScales project word cloud

Explore the words cloud of the RandomMultiScales project. It provides you a very rough idea of what is the project "RandomMultiScales" about.

waves    numerical    algorithmic    unrelated    homogenization    metamaterials    deterministic    generation    microstructures    separation    simulation    geometrically    envisioned    transitions    localization    connected    anderson    decomposition    magnitude    deep    fundamental    attempt    models    periodicity    domain    invisibility    modeling    heterogeneous    randomness    paradigm    media    computing    interplay    adaptive    theories    interpretation    underlying    goals    probabilistic    surprising    resolve    random    direct    scattering    ranging    accounts    experimental    scales    stationarity    orders    mathematical    ergodicity    exceeds    intersection    dimensional    seemingly    truly    nexus    prediction    separable    multiscale    disordered    computational    observation    space    stochastic    equations    quantification    fashion    quantum    contrast    easily    hierarchical    links    partial    continuum    hence    cloaking    base    physics    numerics    games    physical    multiple    disorder    statistically    differential    phenomena    astonishing    bayesian    clears    breakthroughs   

Project "RandomMultiScales" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET AUGSBURG 

Organization address
address: UNIVERSITAETSSTRASSE 2
city: AUGSBURG
postcode: 86159
website: www.uni-augsburg.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙796˙926 €
 EC max contribution 1˙796˙926 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-COG
 Funding Scheme ERC-COG
 Starting year 2020
 Duration (year-month-day) from 2020-05-01   to  2025-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET AUGSBURG DE (AUGSBURG) coordinator 1˙796˙926.00

Map

 Project objective

Geometrically or statistically heterogeneous microstructures and high physical contrast are the key to astonishing physical phenomena such as invisibility cloaking with metamaterials or the localization of quantum waves in disordered media. Due to the complex experimental observation of such processes, numerical simulation has very high potential for their understanding and control. However, the underlying mathematical models of random partial differential equations are characterized by a complex interplay of effects on many non-separable or even a continuum of characteristic scales. The attempt to resolve them in a direct numerical simulation easily exceeds today's computing resources by multiple orders of magnitude. The simulation of physical phenomena from multiscale models, hence, requires a new generation of computational multiscale methods that accounts for randomness and disorder in a hierarchical and adaptive fashion.

This proposal concerns the design and numerical analysis of such methods. The main goals are connected to fundamental mathematical and algorithmic challenges at the intersection of multiscale modeling and simulation, uncertainty quantification and computational physics:

(A) Numerical stochastic homogenization beyond stationarity and ergodicity, (B) Uncertainty quantification in truly high-dimensional parameter space, (C) Computational multiscale scattering in random heterogeneous media, (D) Numerical prediction of Anderson localization and quantum phase transitions.

These objectives base upon recent breakthroughs of deterministic numerical homogenization beyond periodicity and scale separation and its deep links to seemingly unrelated theories ranging all the way from domain decomposition to information games and their Bayesian interpretation. It is this surprising nexus of classical and probabilistic numerics that clears the way to the envisioned new computational paradigm for multiscale problems at randomness and disorder.

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The information about "RANDOMMULTISCALES" are provided by the European Opendata Portal: CORDIS opendata.

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