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

Author:

Zhang ChenORCID,Song HengxuORCID,Oliveros Daniela,Fraczkiewicz Anna,Legros Marc,Sandfeld StefanORCID

Publisher

Elsevier BV

Subject

Metals and Alloys,Polymers and Plastics,Ceramics and Composites,Electronic, Optical and Magnetic Materials

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’;Machine Learning: Science and Technology;2024-01-16

2. Observing deformation in situ;Nature Materials;2024-01

3. Statistical analysis of discrete dislocation dynamics simulations: initial structures, cross-slip and microstructure evolution;Modelling and Simulation in Materials Science and Engineering;2023-08-14

4. Multicomponent Alloys and Laminated Composite Nanomaterials for Hydrogen Technologies;Russian Metallurgy (Metally);2023-08

5. Instance Segmentation of Dislocations in TEM Images;2023 IEEE 23rd International Conference on Nanotechnology (NANO);2023-07-02

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