MuDiLingo

A Multiscale Dislocation Language for Data-Driven Materials Science

CoordinatorCNRS - Institut des Sciences Biologiques ; TECHNISCHE UNIVERSITAET BERGAKADEMIE FREIBERG
Grant period2017-11-01 - 2023-10-31
Funding bodyEuropean Union
Call numberERC-2017-STG
Grant number759419
IdentifierG:(EU-Grant)759419

Note: 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.
     

Recent Publications

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Data-mining of in-situ TEM experiments: Towards understanding nanoscale fracture
Computational materials science 216, 111830 - () [10.1016/j.commatsci.2022.111830] OpenAccess  Download fulltext Files  Download fulltextFulltext by OpenAccess repository BibTeX | EndNote: XML, Text | RIS

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Automated Analysis of Continuum Fields from Atomistic Simulations Using Statistical Machine Learning
Advanced engineering materials 24(12), 2200574 - () [10.1002/adem.202200574] OpenAccess  Download fulltext Files  Download fulltextFulltext by OpenAccess repository BibTeX | EndNote: XML, Text | RIS

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Data-mining of in-situ TEM experiments: On the dynamics of dislocations in CoCrFeMnNi alloys
Acta materialia 241, 118394 - () [10.1016/j.actamat.2022.118394] OpenAccess  Download fulltext Files  Download fulltextFulltext by OpenAccess repository BibTeX | EndNote: XML, Text | RIS

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Grain segmentation in atomistic simulations using orientation-based iterative self-organizing data analysis
Materialia 21, 101314 - () [10.1016/j.mtla.2022.101314] OpenAccess  Download fulltext Files  Download fulltextFulltext by OpenAccess repository BibTeX | EndNote: XML, Text | RIS

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OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations
SoftwareX 15, 100708 - () [10.1016/j.softx.2021.100708] OpenAccess  Download fulltext Files  Download fulltextFulltext by OpenAccess repository BibTeX | EndNote: XML, Text | RIS

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Multiscale study of the dynamic friction coefficient due to asperity plowing
Friction 9(4), 822 - 839 () [10.1007/s40544-020-0438-4] OpenAccess  Download fulltext Files  Download fulltextFulltext by OpenAccess repository BibTeX | EndNote: XML, Text | RIS

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Orientation-related twinning and dislocation glide in a cantor high entropy alloy at room and cryogenic temperature studied by in situ TEM straining
Materials chemistry and physics 272, 124955 - () [10.1016/j.matchemphys.2021.124955] OpenAccess  Download fulltext Files  Download fulltextFulltext by OpenAccess repository BibTeX | EndNote: XML, Text | RIS

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Data-mining of dislocation microstructures: concepts for coarse-graining of internal energies
Modelling and simulation in materials science and engineering 29(3), 035005 - () [10.1088/1361-651X/abdc6b] OpenAccess  Download fulltext Files  Download fulltextFulltext by OpenAccess repository BibTeX | EndNote: XML, Text | RIS

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Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling
Crystals 11(3), 258 - () [10.3390/cryst11030258] OpenAccess  Download fulltext Files  Download fulltextFulltext by OpenAccess repository BibTeX | EndNote: XML, Text | RIS

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Dislocation structures and the role of grain boundaries in cyclically deformed Ni micropillars
Materials science and engineering / A 769, 138295 - () [10.1016/j.msea.2019.138295] OpenAccess  Download fulltext Files  Download fulltextFulltext by OpenAccess repository BibTeX | EndNote: XML, Text | RIS

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 Record created 2017-11-10, last modified 2023-02-13



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