Search Results for author: Sandro Sorella

Found 3 papers, 0 papers with code

High pressure hydrogen by machine learning and quantum Monte Carlo

no code implementations21 Dec 2021 Andrea Tirelli, Giacomo Tenti, Kousuke Nakano, Sandro Sorella

We have developed a technique combining the accuracy of quantum Monte Carlo in describing the electron correlation with the efficiency of a Machine Learning Potential (MLP).

BIG-bench Machine Learning Position +1

The phase diagram of the Hubbard model by Variational Auxiliary Field quantum Monte Carlo

no code implementations18 Jan 2021 Sandro Sorella

A systematically improvable wave function is proposed for the numerical solution of strongly correlated systems.

Stochastic Optimization Strongly Correlated Electrons

Variational wave functions for frustrated magnetic models

no code implementations29 May 2009 Federico Becca, Luca Capriotti, Alberto Parola, Sandro Sorella

Variational wave functions containing electronic pairing and suppressed charge fluctuations (i. e., projected BCS states) have been proposed as the paradigm for disordered magnetic systems (including spin liquids).

Strongly Correlated Electrons

Cannot find the paper you are looking for? You can Submit a new open access paper.