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physics.comp-ph2018
A Machine Learning Approach for Increased Throughput of Density Functional Theory Substitutional Alloy Studies
Alhassan S. Yasin, Terence D. Musho
In this study, a machine learning-based technique is developed to reduce the computational cost required to explore large design spaces of substitutional alloys. The first advancem…
physics.comp-ph2017
Predicting the Spin Seebeck Voltage in Spin-polarized Materials: A Quantum Mechanical Transport Model Approach
Anveeksh Koneru, Terence D. Musho
The spin Seebeck effect has recently been demonstrated as a viable method of direct energy conversion that has potential to outperform energy conversion from the conventional Seebe…