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.

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

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.
telephone: n.a.
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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