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.

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

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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fax: n.a.

 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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