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NoMaMemo SIGNED

Non-Markovian Memory-Based Modelling of Near- and Far-From-Equilibrium Dynamical Systems

Total Cost €

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EC-Contrib. €

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Partnership

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 NoMaMemo project word cloud

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

noise    ir    dissipated    folding    suitably    equations    quality    energy    equilibrium    unanswered    nomamemo    functions    chosen    previously    liquids    interpretation    motion    first    unified    time    linear    crossing    questions    barrier    exchange    connects    models    significantly    formulation    predict    classification    rate    provides    sight    chemical    compare    respect    speed    statistical    coordinate    relation    integro    forecasting    migration    economic    substrate    living    contains    inhomogeneous    yen    diverse    examples    unfolding    stochastic    environment    aqueous    data    series    socio    figures    mechanics    memory    degree    description    cell    proton    thz    efficiency    constantly    gaussian    classify    algorithms    modern    differential    estimated    extracted    random    accounts    creates    peptide    merit    kinetics    reaction    entropy    search    protein    platform    optimize    theory    close    fundamental    defies    learning    walk    dollar    possible    spectroscopy    machine    understand   

Project "NoMaMemo" data sheet

The following table provides information about the project.

Coordinator
FREIE UNIVERSITAET BERLIN 

Organization address
address: KAISERSWERTHER STRASSE 16-18
city: BERLIN
postcode: 14195
website: www.fu-berlin.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˙983˙744 €
 EC max contribution 1˙983˙744 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-ADG
 Funding Scheme ERC-ADG
 Starting year 2019
 Duration (year-month-day) from 2019-12-01   to  2024-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FREIE UNIVERSITAET BERLIN DE (BERLIN) coordinator 1˙983˙744.00

Map

 Project objective

Time series characterize diverse systems, examples in this proposal are: i) Proton motion in an inhomogeneous aqueous environment, ii) folding and unfolding of a peptide described by a suitably chosen reaction coordinate, iii) migration of a living cell on a substrate, iv) US Dollar / Yen exchange rate. Examples i) and ii) are close-to-equilibrium, iii) is a far from equilibrium since energy is constantly dissipated, while example iv) at first sight defies the classification into equilibrium or non-equilibrium. For the understanding, comparison, classification and forecasting of time series data, stochastic differential equations, diverse random walk models, and more recently, machine-learning algorithms are commonly used. But fundamental questions remain unanswered: Is a unified description of such diverse systems possible? What is the relation between different proposed models? Can the non-equilibrium degree of a time series be estimated? NoMaMemo provides a unified description of generic time series data in terms of non-linear integro-differential stochastic equations based on memory functions that are extracted from data. NoMaMemo accounts for non-linear and non-equilibrium effects as well as for non-Gaussian noise and connects with fundamental concepts such as equilibrium statistical mechanics, response theory and entropy production. The general formulation contains previously proposed models and thus allows their comparison, forecasting quality will be compared with modern machine-learning algorithms. NoMaMemo creates a generic platform to analyse, understand, compare, classify and predict time series data and to optimize stochastic systems with respect to search efficiency, barrier-crossing speed or other figures of merit. NoMaMemo will significantly advance the understanding of chemical reaction and protein folding kinetics, the interpretation of THz and IR spectroscopy of liquids and the analysis of living matter and socio-economic data.

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

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