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A Multiscale Dislocation Language for Data-Driven Materials Science

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.

Field of science

  • /natural sciences/physical sciences/electromagnetism and electronics/electrical conductivity/semiconductor
  • /humanities/languages and literature/languages - general
  • /natural sciences/chemical sciences/inorganic chemistry/metals
  • /natural sciences/computer and information sciences/data science/data mining

Call for proposal

ERC-2017-STG
See other projects for this call

Funding Scheme

ERC-STG - Starting Grant

Host institution

TECHNISCHE UNIVERSITAET BERGAKADEMIE FREIBERG
Address
Akademiestrasse 6
09599 Freiberg
Germany
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 356 645

Beneficiaries (2)

TECHNISCHE UNIVERSITAET BERGAKADEMIE FREIBERG
Germany
EU contribution
€ 1 356 645
Address
Akademiestrasse 6
09599 Freiberg
Activity type
Higher or Secondary Education Establishments
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France
EU contribution
€ 142 500
Address
Rue Michel Ange 3
75794 Paris
Activity type
Research Organisations