activity
20172026
most citedA machine learning framework for quantifying chemical segregation and microstructural features in atom probe tomography data

20 citations · 57 across the 11 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cond-mat.mtrl-sci2022★ 3 cited

Accurate computation of chemical contrast in field ion microscopy

Shalini Bhatt, Shyam Katnagallu, Jörg Neugebauer +1

We present a computational approach to simulate local contrast observed in Field Ion Microscopy (FIM). It is based on density-functional theory utilizing the Tersoff-Hamann approac…

cond-mat.mtrl-sci2022★ 7 cited

Ab initio vacancy formation energies and kinetics at metal surfaces under high electric field

Shyam Katnagallu, Christoph Freysoldt, Baptiste Gault +1

Recording field ion microscope images under field evaporating conditions and subsequently reconstructing the underlying atomic configuration, called three-dimensional field ion mic…