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Data-mining of in-situ TEM experiments: On the dynamics of dislocations in CoCrFeMnNi alloys

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Predicting the flow stress and dominant yielding mechanisms: analytical models based on discrete dislocation plasticity

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Grain segmentation in atomistic simulations using orientation-based iterative self-organizing data analysis

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

FETI‐DP Solvers and Deal.II for Problems in Dislocation Mechanics

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Steps towards a Dislocation Ontology for Crystalline Materials

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Instance Segmentation of Dislocations in TEM Images

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Orientation-related twinning and dislocation glide in a cantor high entropy alloy at room and cryogenic temperature stud...

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Statistical analysis of discrete dislocation dynamics simulations: initial structures, cross-slip and microstructure evo...

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

A model for the interaction of dislocations with planar defects based on Allen–Cahn type microstructure evolution coup...

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Data-mining of dislocation microstructures: concepts for coarse-graining of internal energies

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Multiscale study of the dynamic friction coefficient due to asperity plowing

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Periodic Reporting for period 3 - MuDiLingo (A Multiscale Dislocation Language for Data-Driven Materials Science)

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Data-mining of in-situ TEM experiments: Towards understanding nanoscale fracture

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Automated Analysis of Continuum Fields from Atomistic Simulations Using Statistical Machine Learning

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Datasets for the analysis of dislocations at grain boundaries and during vein formation in cyclically deformed Ni microp...

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Dislocation structures and the role of grain boundaries in cyclically deformed Ni micropillars

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Shear relaxation behind the shock front in 1 1 0 molybdenum – From the atomic scale to continuous dislocation fields

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Chances and Challenges in Fusing Data Science with Materials Science

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

Machine Learning-Based Classification of Dislocation Microstructures

Project: MuDiLingo

Updated at: 27-04-2024

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Project acronym MuDiLingo

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Data-mining of in-situ TEM experiments: On the dynamics of dislocations in CoCrFeMnNi alloys

Predicting the flow stress and dominant yielding mechanisms: analytical models based on discrete dislocation plasticity

Grain segmentation in atomistic simulations using orientation-based iterative self-organizing data analysis

FETI‐DP Solvers and Deal.II for Problems in Dislocation Mechanics

Steps towards a Dislocation Ontology for Crystalline Materials

Instance Segmentation of Dislocations in TEM Images

Orientation-related twinning and dislocation glide in a cantor high entropy alloy at room and cryogenic temperature stud...

Statistical analysis of discrete dislocation dynamics simulations: initial structures, cross-slip and microstructure evo...

Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling

A model for the interaction of dislocations with planar defects based on Allen–Cahn type microstructure evolution coup...

Data-mining of dislocation microstructures: concepts for coarse-graining of internal energies

Multiscale study of the dynamic friction coefficient due to asperity plowing

OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations

DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials

Periodic Reporting for period 3 - MuDiLingo (A Multiscale Dislocation Language for Data-Driven Materials Science)

Data-mining of in-situ TEM experiments: Towards understanding nanoscale fracture

Automated Analysis of Continuum Fields from Atomistic Simulations Using Statistical Machine Learning

Datasets for the analysis of dislocations at grain boundaries and during vein formation in cyclically deformed Ni microp...

Dislocation structures and the role of grain boundaries in cyclically deformed Ni micropillars

Shear relaxation behind the shock front in 1 1 0 molybdenum – From the atomic scale to continuous dislocation fields

Chances and Challenges in Fusing Data Science with Materials Science

Machine Learning-Based Classification of Dislocation Microstructures