The accuracy of total electronic energies obtained using the fixed-node diffusion quantum Monte Carlo (FNDMC) method is determined by the choice of the many-body nodal surface. Here, we perform a systematic comparison of the quality of FN-DMC energies for a selection of atoms and diatomic molecules using nodal surfaces defined by single determinants of Hartree-Fock, B3LYP, and LDA orbitals. Through comparison with experimental results, we show that the use of Kohn- Sham orbitals results in significantly improved FN-DMC atomization energies over those obtained using Hartree-Fock orbitals. We also discuss the e?ect of spin contamination in the orbitals
Achieving both bond dissociation energies (BDEs) and their trends for the R–X bonds with R = Me, Et,...
Quantum Monte Carlo (QMC) methods are playing an increasingly important role for providing benchmark...
Accurate first-principles calculations can provide valuable predictions for material-specific proper...
Performance of the fixed-node diffusion quantum Monte Carlo method (FN-DMC) with a single Slater-Jas...
The basic idea of the diffusion quantum Monte Carlo method (DMC) is the analogy of the Schrödinger e...
With the development of peta-scale computers and exa-scale only a few years away, the quantum Monte ...
For the first time, quantum Monte Carlo orbital optimization of multi-configuration wave functions f...
International audienceQuantum Monte Carlo (QMC) is a stochastic method that has been particularly su...
Diffusion Monte Carlo (DMC) simulations for fermions are becoming the standard for providing high-qu...
In this work, we present a simple decomposition scheme of the Kohn-Sham optimized orbitals which is ...
The factors influencing the quality of the nodal surfaces, namely, the atomic basis set, the single-...
The Hohnberg-Kohn theorem establishes a one-to-one correspondence between the density and the extern...
Diffusion Monte Carlo methods can give highly accurate results for correlated systems, provided that...
We present two diffusion Monte Carlo (DMC) algorithms for systems of ultracold quantum gases featuri...
We present a selective correlation scheme allowing us to correlate only subsets of electrons, which ...
Achieving both bond dissociation energies (BDEs) and their trends for the R–X bonds with R = Me, Et,...
Quantum Monte Carlo (QMC) methods are playing an increasingly important role for providing benchmark...
Accurate first-principles calculations can provide valuable predictions for material-specific proper...
Performance of the fixed-node diffusion quantum Monte Carlo method (FN-DMC) with a single Slater-Jas...
The basic idea of the diffusion quantum Monte Carlo method (DMC) is the analogy of the Schrödinger e...
With the development of peta-scale computers and exa-scale only a few years away, the quantum Monte ...
For the first time, quantum Monte Carlo orbital optimization of multi-configuration wave functions f...
International audienceQuantum Monte Carlo (QMC) is a stochastic method that has been particularly su...
Diffusion Monte Carlo (DMC) simulations for fermions are becoming the standard for providing high-qu...
In this work, we present a simple decomposition scheme of the Kohn-Sham optimized orbitals which is ...
The factors influencing the quality of the nodal surfaces, namely, the atomic basis set, the single-...
The Hohnberg-Kohn theorem establishes a one-to-one correspondence between the density and the extern...
Diffusion Monte Carlo methods can give highly accurate results for correlated systems, provided that...
We present two diffusion Monte Carlo (DMC) algorithms for systems of ultracold quantum gases featuri...
We present a selective correlation scheme allowing us to correlate only subsets of electrons, which ...
Achieving both bond dissociation energies (BDEs) and their trends for the R–X bonds with R = Me, Et,...
Quantum Monte Carlo (QMC) methods are playing an increasingly important role for providing benchmark...
Accurate first-principles calculations can provide valuable predictions for material-specific proper...