2 papers
physics.ins-det2019
Data-Driven Modeling of Electron Recoil Nucleation in PICO CF Bubble Chambers
C. Amole, M. Ardid, I. J. Arnquist +76
The primary advantage of moderately superheated bubble chamber detectors is their simultaneous sensitivity to nuclear recoils from WIMP dark matter and insensitivity to electron re…
cond-mat.mtrl-sci2019
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…