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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.

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

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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