Screening of a Point Charge: A Fixed-Node Diffusion Monte Carlo Study
Conference paper
Abstract
We study the static screening in a Hubbard-like model using fixed-node diffusion Monte Carlo. We find that the random phase approximation is surprisingly accurate even for metallic systems close to the Mott transition. As a specific application we discuss the implications of the efficient screening for the superconductivity in the doped Fullerenes. In the Monte Carlo calculations we use trVAl functions with two Gutzwiller-type parameters. To deal with such trVAl functions, we introduce a method for efficiently optimizing the Gutzwiller parameters, both in varVAtional and in fixed-node diffusion Monte Carlo.
Keywords
Point Charge Hubbard Model Trial Function Monte Carlo Calculation Random Phase Approximation
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