2 citations · 3 across the 6 of their papers we have counts for
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DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials
Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld
Crystalline materials, such as metals and semiconductors, nearly always contain a special defect type called dislocation. This defect decisively determines many important material…
Accurate Distances Measures and Machine Learning of the Texture-Property Relation for Crystallographic Textures Represented by One-Point Statistics
Tarek Iraki, Lukas Morand, Norbert Link +2
The crystallographic texture of metallic materials is a key microstructural feature that is responsible for the anisotropic behavior, e.g., important in forming operations. In mate…
Statistical analysis of Discrete Dislocation Dynamics simulations: initial structures, cross-slip and microstructure evolution
Aytekin Demirci, Dominik Steinberger, Markus Stricker +3
Over the past decades, discrete dislocation dynamics simulations have been shown to reliably predict the evolution of dislocation microstructures for micrometer-sized metallic samp…
Data-mining of dislocation microstructures: concepts for coarse-graining of internal energies
Hengxu Song, Nina Gunkelmann, Giacomo Po +1
Continuum models of dislocation plasticity require constitutive closure assumptions, e.g., by relating details of the dislocation microstructure to energy densities. Currently, the…