3 papers
physics.app-ph2019
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction
Elizabeth Kautz, Wufei Ma, Saumyadeep Jana +4
Micrograph quantification is an essential component of several materials science studies. Machine learning methods, in particular convolutional neural networks, have previously dem…
physics.app-ph2019
Nanoscale spatially resolved mapping of uranium enrichment in actinide-bearing materials
Elizabeth Kautz, Douglas Burkes, Vineet Joshi +2
Spatially resolved analysis of uranium isotopes in small volumes of actinide-bearing materials is critical for a variety of technical disciplines, including earth and planetary sci…
physics.comp-ph2018
Simulation of Heterogeneous Atom Probe Tip Shapes Evolution during Field Evaporation Using a Level Set Method and Different Evaporation Models
Zhijie Xu, Dongsheng Li, Wei Xu +5
In atom probe tomography (APT), accurate reconstruction of the spatial positions of field evaporated ions from measured detector patterns depends upon a correct understanding of th…