Opendata, web and dolomites

MuDiLingo SIGNED

A Multiscale Dislocation Language for Data-Driven Materials Science

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MUDILINGO" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

KineTic (2020)

New Reagents for Quantifying the Routing and Kinetics of T-cell Activation

Read More  

PATHOCODE (2020)

Molecular pathology of anti-viral T cell responses in the central nervous system

Read More  

TechChange (2019)

Technological Change: New Sources, Consequences, and Impact Mitigation

Read More