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RandomMultiScales SIGNED

Computational Random Multiscale Problems

Total Cost €

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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.

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

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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