50 citations · 101 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…
A machine learning approach to thermal conductivity modeling: A case study on irradiated uranium-molybdenum nuclear fuels
Elizabeth Kautz, Alexander Hagen, Jesse Johns +1
A deep neural network was developed for the purpose of predicting thermal conductivity with a case study performed on neutron irradiated nuclear fuel. Traditional thermal conductiv…