This article describes the variational and fixed-node diffusion quantum Monte Carlo methods
and how they may be used to calculate the properties of many-electron systems. These …

As the name implies, Monte Carlo (MC) methods employ random numbers to solve
problems. The range of problems that may be treated by MC is substantial; these include …

QMCPACK is an open source quantum Monte Carlo package for ab initio electronic
structure calculations. It supports calculations of metallic and insulating solids, molecules …

We design a neural network Ansatz for variationally finding the ground-state wave function
of the homogeneous electron gas, a fundamental model in the physics of extended systems …

We present an overview of the variational and diffusion quantum Monte Carlo methods as
implemented in the casino program. We particularly focus on developments made in the last …

We present a simple, robust, and highly efficient method for optimizing all parameters of
many-body wave functions in quantum Monte Carlo calculations, applicable to continuum …

This topical review describes the methodology of continuum variational and diffusion
quantum Monte Carlo calculations. These stochastic methods are based on many-body …

We show that the standard Lanczos algorithm can be efficiently implemented statistically
and self-consistently improved, using the stochastic reconfiguration method, which has been …

Quantum crystals abound in the whole range of solid-state species. Below a certain
threshold temperature the physical behavior of rare gases (He 4 and Ne), molecular solids …

We review the physics of helium nanodroplets with emphasis on theoretical aspects that
have been the subject of recent research, like 3 He and mixed 3 He− 4 He droplets, vortices …