Opendata, web and dolomites

MuDiLingo SIGNED

A Multiscale Dislocation Language for Data-Driven Materials Science

Total Cost €

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EC-Contrib. €

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Partnership

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 MuDiLingo project word cloud

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

electronic    description    reused    material    language    links    extracting    line    first    responsible    century    structures    mechanical    true    uses    stays    dislocation    materials    understand    experiment    interoperability    questions    thereby    sufficiently    crystalline    optical    analogy    audio    direct    length    mining    interacting    predicting    reveals    small    mechanisms    carrier    assembling    answer    superior    experiments    behaviors    tailoring    bearing    scientists    conversion    guide    revolutionary    impossible    microstructures    dislocations    images    fundamental    physics    functional    micro    statistical    compressing    mp3    multiscale    automated    technologically    unifying    themselves    compression    defects    nanoscale    plasticity    seeking    scientific    transfer    generation    microstructure    full    structural    amount    rational    mudilingo    evolve    scales    nearly    networks    models    guaranteeing    semiconductors    preserving    simulations    time    simulation    vision    plastic    methodology    throughput    specifics    metals    evolution    completely    situ    microscopy    data    versatile    deformation   

Project "MuDiLingo" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITAET BERGAKADEMIE FREIBERG 

Organization address
address: AKADEMIESTRASSE 6
city: FREIBERG
postcode: 9599
website: http://tu-freiberg.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
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 Coordinator Country Germany [DE]
 Project website https://tu-freiberg.de/fakult4/imfd/mimm
 Total cost 1˙499˙145 €
 EC max contribution 1˙499˙145 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-11-01   to  2022-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET BERGAKADEMIE FREIBERG DE (FREIBERG) coordinator 1˙356˙645.00
2    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) participant 142˙500.00

Map

 Project objective

Crystalline defects in metals and semiconductors are responsible for a wide range of mechanical, optical and electronic properties. Controlling the evolution of dislocations, i.e. line-like defects and the carrier of plastic deformation, interacting both among themselves and with other microstructure elements allows tailoring material behaviors on the micro and nanoscale. This is essential for rational design approaches towards next generation materials with superior mechanical properties.

For nearly a century, materials scientists have been seeking to understand how dislocation systems evolve. In-situ microscopy now reveals complex dislocation networks in great detail. However, without a sufficiently versatile and general methodology for extracting, assembling and compressing dislocation-related information the analysis of such data often stays at the level of “looking at images” to identify mechanisms or structures. Simulations are increasingly capable of predicting the evolution of dislocations in full detail. Yet, direct comparison, automated analysis or even data transfer between small scale plasticity experiments and simulations is impossible, and a large amount of data cannot be reused.

The vision of MuDiLingo is to develop and establish for the first time a Unifying Multiscale Language of Dislocation Microstructures. Bearing analogy to audio data conversion into MP3, this description of dislocations uses statistical methods to determine data compression while preserving the relevant physics. It allows for a completely new type of high-throughput data mining and analysis, tailored to the specifics of dislocation systems. This revolutionary data-driven approach links models and experiments on different length scales thereby guaranteeing true interoperability of simulation and experiment. The application to technologically relevant materials will answer fundamental scientific questions and guide towards design of superior structural and functional materials.

 Publications

year authors and title journal last update
List of publications.
2019 D. Steinberger, H. Song, S. Sandfeld
Machine Learning-Based Classification of Dislocation Microstructures
published pages: , ISSN: 2296-8016, DOI: 10.3389/fmats.2019.0141
frontiers in materials 6, Article 141 2019-09-04
2018 Roman Kositski, Dominik Steinberger, Stefan Sandfeld, Dan Mordehai
Shear relaxation behind the shock front in 1 1 0 molybdenum – From the atomic scale to continuous dislocation fields
published pages: 125-133, ISSN: 0927-0256, DOI: 10.1016/j.commatsci.2018.02.058
Computational Materials Science 149 2019-09-04
2018 A. Prakash, S. Sandfeld
Chances and Challenges in Fusing Data Science with Materials Science
published pages: 493-514, ISSN: 0032-678X, DOI: 10.3139/147.110539
Practical Metallography 55/8 2019-09-04

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

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