MuDiLingo
A Multiscale Dislocation Language for Data-Driven Materials Science
Coordinator | CNRS - Institut des Sciences Biologiques ; TECHNISCHE UNIVERSITAET BERGAKADEMIE FREIBERG |
Grant period | 2017-11-01 - 2023-10-31 |
Funding body | European Union |
Call number | ERC-2017-STG |
Grant number | 759419 |
Identifier | G:(EU-Grant)759419 |
All known publications ...
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Journal Article
Data-mining of in-situ TEM experiments: Towards understanding nanoscale fracture
Computational materials science 216, 111830 - (2023) [10.1016/j.commatsci.2022.111830]
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Automated Analysis of Continuum Fields from Atomistic Simulations Using Statistical Machine Learning
Advanced engineering materials 24(12), 2200574 - (2022) [10.1002/adem.202200574]
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Data-mining of in-situ TEM experiments: On the dynamics of dislocations in CoCrFeMnNi alloys
Acta materialia 241, 118394 - (2022) [10.1016/j.actamat.2022.118394]
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Grain segmentation in atomistic simulations using orientation-based iterative self-organizing data analysis
Materialia 21, 101314 - (2022) [10.1016/j.mtla.2022.101314]
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OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations
SoftwareX 15, 100708 - (2021) [10.1016/j.softx.2021.100708]
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Multiscale study of the dynamic friction coefficient due to asperity plowing
Friction 9(4), 822 - 839 (2021) [10.1007/s40544-020-0438-4]
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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 - (2021) [10.1016/j.matchemphys.2021.124955]
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Journal Article
Data-mining of dislocation microstructures: concepts for coarse-graining of internal energies
Modelling and simulation in materials science and engineering 29(3), 035005 - (2021) [10.1088/1361-651X/abdc6b]
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Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling
Crystals 11(3), 258 - (2021) [10.3390/cryst11030258]
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Dislocation structures and the role of grain boundaries in cyclically deformed Ni micropillars
Materials science and engineering / A 769, 138295 - (2020) [10.1016/j.msea.2019.138295]
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