3 papers
cond-mat.str-el2020
Neural Network Solver for Small Quantum Clusters
Nicholas Walker, Samuel Kellar, Yi Zhang +1
Machine learning approaches have recently been applied to the study of various problems in physics. Most of the studies are focused on interpreting the data generated by convention…
cond-mat.str-el2020
Non-Fermi Liquid Behaviour in the Three Dimensional Hubbard Model
Samuel Kellar, Ka-Ming Tam
We present a numerical study on non-Fermi liquid behaviour of a three dimensional system. The Hubbard model in a cubic lattice is simulated by the dynamical cluster approximation,…
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…