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cond-mat.mtrl-sci2021
The Adoption of Image-Driven Machine Learning for Microstructure Characterization and Materials Design: A Perspective
Arun Baskaran, Elizabeth J. Kautz, Aritra Chowdhary +3
The recent surge in the adoption of machine learning techniques for materials design, discovery, and characterization has resulted in an increased interest and application of Image…
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…