Abstract We report state-of-the-art quantum Monte Carlo calculations of the singlet n → π ∗ (CO) vertical excitation energy in the acrolein molecule, extending the recent study of Bouabça et al. [J Chem Phys 130:114107, 2009]. We investigate the effect of using a Slater basis set instead of a Gaussian basis set, and of using state-average versus state-specific complete-active-space (CAS) wave functions, with or without reoptimization of the coefficients of the configuration state functions (CSFs) and of the orbitals in variational Monte Carlo (VMC). It is found that, with the Slater basis set used here, both state-average and state-specific CAS(6,5) wave functions give an accurate excitation energy in diffusion Monte Carlo (DMC), with or w...
Quantum Monte Carlo (QMC) is a computational technique that can be applied to the electronic Schrödi...
Performance of the fixed-node diffusion quantum Monte Carlo method (FN-DMC) with a single Slater-Jas...
Quantum Monte Carlo (QMC) methods are playing an increasingly important role for providing benchmark...
6 pages, 1 figure, 2 tablesInternational audienceWe report state-of-the-art quantum Monte Carlo calc...
International audienceWe show that recently developed quantum Monte Carlo methods, which provide acc...
ABSTRACT: Quantum Monte Carlo methods are accurate and promising many body techniques for electronic...
We present a comparative study of the geometry optimization in the gas phase of acrolein, acetone, m...
We employ quantum Monte Carlo to obtain chemically accurate vertical and adiabatic excitation energi...
With the development of peta-scale computers and exa-scale only a few years away, the quantum Monte ...
Quantum Monte Carlo (QMC) has successfully computed the total electronic energies of atoms and molec...
Quantum Monte Carlo methods are accurate and promising many body techniques for electronic structure...
Quantum Monte Carlo methods are accurate and promising many body techniques for electronic structure...
We present a comparative study of the geometry optimization in the gas phase of acrolein, acetone, m...
The auxiliary‐field quantum Monte Carlo (AFQMC) method provides a computational framework for solvin...
A theoretical study is reported of the transition between the ground state (1Ag) and the lowest trip...
Quantum Monte Carlo (QMC) is a computational technique that can be applied to the electronic Schrödi...
Performance of the fixed-node diffusion quantum Monte Carlo method (FN-DMC) with a single Slater-Jas...
Quantum Monte Carlo (QMC) methods are playing an increasingly important role for providing benchmark...
6 pages, 1 figure, 2 tablesInternational audienceWe report state-of-the-art quantum Monte Carlo calc...
International audienceWe show that recently developed quantum Monte Carlo methods, which provide acc...
ABSTRACT: Quantum Monte Carlo methods are accurate and promising many body techniques for electronic...
We present a comparative study of the geometry optimization in the gas phase of acrolein, acetone, m...
We employ quantum Monte Carlo to obtain chemically accurate vertical and adiabatic excitation energi...
With the development of peta-scale computers and exa-scale only a few years away, the quantum Monte ...
Quantum Monte Carlo (QMC) has successfully computed the total electronic energies of atoms and molec...
Quantum Monte Carlo methods are accurate and promising many body techniques for electronic structure...
Quantum Monte Carlo methods are accurate and promising many body techniques for electronic structure...
We present a comparative study of the geometry optimization in the gas phase of acrolein, acetone, m...
The auxiliary‐field quantum Monte Carlo (AFQMC) method provides a computational framework for solvin...
A theoretical study is reported of the transition between the ground state (1Ag) and the lowest trip...
Quantum Monte Carlo (QMC) is a computational technique that can be applied to the electronic Schrödi...
Performance of the fixed-node diffusion quantum Monte Carlo method (FN-DMC) with a single Slater-Jas...
Quantum Monte Carlo (QMC) methods are playing an increasingly important role for providing benchmark...