papers
Publications (5)
cond-mat.mtrl-sci2018
Deep neural networks for direct, featureless learning through observation: the case of 2d spin models
Kyle Mills, Isaac Tamblyn
cond-mat.stat-mech2017
Phase space sampling and operator confidence with generative adversarial networks
Kyle Mills, Isaac Tamblyn
cond-mat.mtrl-sci2017
Deep learning and the Schrödinger equation
Kyle Mills, Michael Spanner, Isaac Tamblyn
cond-mat.mtrl-sci2018
Convolutional neural networks for atomistic systems
Kevin Ryczko, Kyle Mills, Iryna Luchak +2
physics.comp-ph2019
Extensive deep neural networks for transferring small scale learning to large scale systems
Kyle Mills, Kevin Ryczko, Iryna Luchak +3