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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.

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

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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