Determination of core structure periodicity and point defect density along dislocations

By C. Koch. 2002

397 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Deep Learning Approach to Identify Local Structures in Atomic‐Resolution Transmission Electron Microscopy Images (2018, methodology): “et is to be applied tosuch), generated using the Atomic Simulation Environment(ASE)[25]. SimulatedimagesaregeneratedusingtheMultisliceAlgorithm,[26]. SimulationisdoneusingthepubliclyavailableQSTEMcode[27],throughaPythoninterfacetoASEdevelopedbytheauthors[12]. Theexitwavefunctionsforeachsysteminthe t”
Mechanism for Zr poisoning of Al-Ti-B based grain refiners (2019, methodology): “The simulation of STEM HAADF images was carried out using the QSTEM multislice simulation package developed by Koch [42], according to the constructed super-lattice structure of”
Recent advances and applications of deep learning methods in materials science (2021, unknown): “com/QSTEM/QSTEM [248] MuSTEM https://github.”
Two-dimensional transition metal dichalcogenides under electron irradiation: defect production and doping. (2012, methodology): “Zettl, Applied Physics Letters 92, 123110 (2008) [33] C.”