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physics.comp-ph2020★ 42 cited
Deep Learning on the 2-Dimensional Ising Model to Extract the Crossover Region with a Variational Autoencoder
Nicholas Walker, Ka-Ming Tam
The 2-dimensional Ising model on a square lattice is investigated with a variational autoencoder in the non-vanishing field case for the purpose of extracting the crossover region…
physics.comp-ph2019
Interatomic Potential in a Simple Dense Neural Network Representation
Ka-Ming Tam, Nicholas Walker, Samuel Kellar +1
Simulations at the atomic scale provide a direct and effective way to understand the mechanical properties of materials. In the regime of classical mechanics, simulations for the t…
physics.comp-ph2018
Identifying structural changes with unsupervised machine learning methods
Nicholas Walker, Ka-Ming Tam, Brian Novak +1
Unsupervised machine learning methods are used to identify structural changes using the melting point transition in classical molecular dynamics simulations as an example applicati…