Skip to search formSkip to main contentSkip to account menu

Diffusion Monte Carlo

Known as: DMC 
Diffusion Monte Carlo (DMC) is a quantum Monte Carlo method that uses a Green's function to solve the Schrödinger equation. DMC is potentially… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
In simple ferromagnetic quantum Ising models characterized by an effective double-well energy landscape the characteristic… 
2016
2016
Most experimental and theoretical studies of adiabatic optimization use stoquastic Hamiltonians, whose ground states are… 
2015
2015
We study lithium systems over a range of number of atoms, e.g., atomic anion, dimer, metallic cluster, and body-centered cubic… 
2012
2012
We propose a modification, based on the RESTART (repetitive simulation trials after reaching thresholds) and DPR (dynamics… 
Review
2010
Review
2010
Quantum Monte Carlo methods represent a powerful and broadly applicable computational tool for finding very accurate solutions of… 
Highly Cited
2009
Highly Cited
2009
In this paper, we present models and tools developed and used by the Device Modelling Group at the University of Glasgow to study… 
2005
2005
Discrete Diffusion Monte Carlo (DDMC) is a hybrid transport-diffusion method for Monte Carlo simulations in diffusive media. In… 
Highly Cited
2002
Highly Cited
2002
Fixed node diffusion Monte Carlo (FN-DMC) atomization energies are calculated for a benchmark set of 55 molecules. Using single… 
Highly Cited
1991
Highly Cited
1991
We have applied the technique of evaluating a nonlocal pseudopotential with a trial function to give an approximate, local many…