2020/12/02 by Gaia Micca Longo, Longo, Gaia Micca, Carla Maria Coppola +7
Materials Science · Physics and Astronomy · #Advanced Chemical Physics Studies #Chemical Physics (physics.chem-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Quantum Physics (quant-ph) #Quantum, superfluid, helium dynamics #physics.chem-ph #quant-ph
paper · pdf · doi:10.48550/arxiv.2012.01151
openalex publication_date 2020/12/02 · arxiv created 2021/02/23 · arxiv updated 2021/02/24 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Computational codes based on the Diffusion Monte Carlo method can be used to determine the quantum state of two-electron systems confined by external potentials of various nature and geometry. In this work, we show how the application of this technique in its simplest form, that does not employ complex analytic guess functions, allows to obtain satisfactory results and, at the same time, to write programs that are readily adaptable from one type of confinement to another. This adaptability allows an easy exploration of the many possibilities in terms of both geometry and structure of the system. To illustrate these results, we present calculations in the case of two-electron hydrogen-based species (H2 and H3+) and two different types of confinement, nanotube-like and octahedral crystal-field.