36 citations · 50 across the 4 of their papers we have counts for
4 papers
Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data"
Kishan Govind, Daniela Oliveros, Antonin Dlouhy +2
Crystalline defects, such as line-like dislocations, play an important role for the performance and reliability of many metallic devices. Their interaction and evolution still pose…
Data-mining of In-Situ TEM Experiments: on the Dynamics of Dislocations in CoCrFeMnNi Alloys
Chen Zhang, Hengxu Song, Daniela Oliveros +3
High entropy alloys are a class of materials with many significant improvements in terms of mechanical properties as compared to ``classical'' alloys. The corresponding structure-p…
Orientation-related twinning and dislocation glide in a Cantor High Entropy Alloy at room and cryogenic temperature studied by in situ TEM straining
Daniela Oliveros, Anna Fraczkiewicz, Antonin Dlouhy +4
In situ straining experiments were performed in a TEM on an equimolar CoCrFeMnNi (Cantor) high entropy alloy at room and cryogenic temperature. Perfect and partial dislocation acti…
Field tunable three-dimensional magnetic nanotextures in cobalt-nickel nanowires
I. M. Andersen, D. Wolf, L. A. Rodriguez +8
Cylindrical magnetic nanowires with large transversal magnetocrystalline anisotropy have been shown to sustain non-trivial magnetic configurations resulting from the interplay of s…