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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.

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

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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