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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.

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

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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