3 papers
physics.comp-ph2019
Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo
Jan Kessler, Francesco Calcavecchia, Thomas D. Kühne
Inspired by the universal approximation theorem and widespread adoption of artificial neural network techniques in a diversity of fields, we propose feed-forward neural networks as…
physics.comp-ph2017
Two-Dimensional Hydrogen Structure at Ultra-High Pressure
Francesco Calcavecchia, Thomas D. Kühne, Markus Holzmann
We introduce a novel method that combines the accuracy of Quantum Monte Carlo simulations with ab-initio Molecular Dynamics, in the spirit of Car-Parrinello. This method is then us…
physics.comp-ph2016
Metal-Insulator Transition of Solid Hydrogen by the Antisymmetric Shadow Wave Function
Francesco Calcavecchia, Thomas D. Kühne
We revisit the pressure-induced metal-insulator-transition of solid hydrogen by means of variational quantum Monte Carlo simulations based on the antisymmetric shadow wave function…