2 citations · 2 across the 3 of their papers we have counts for
5 papers · 1 filter
Pushing the Accuracy Limit of Foundation Neural Network Models with Quantum Monte Carlo Forces and Path Integrals
Anouar Benali, Thomas Plé, Olivier Adjoua +18
We propose an end-to-end integrated strategy to produce highly accurate quantum chemistry (QC) synthetic datasets (energies and forces) aimed at deriving Foundation Machine Learnin…
Towards a Systematic Improvement of the Fixed-Node Approximation in Diffusion Monte Carlo for Solids -- A Case Study In Diamond
Anouar Benali, Kevin Gasperich, Kenneth D. Jordan +9
While Diffusion Monte Carlo (DMC) is in principle an exact stochastic method for \textit{ab initio} electronic structure calculations, in practice the fermionic sign problem necess…
Spin-adapted selected configuration interaction in a determinant basis
Vijay Gopal Chilkuri, Thomas Applencourt, Kevin Gasperich +2
Selected configuration interaction (SCI) methods, when complemented with a second-order perturbative correction, provide near full configuration interaction (FCI) quality energies…
Using CIPSI nodes in diffusion Monte Carlo
Michel Caffarel, Thomas Applencourt, Emmanuel Giner +1
Several aspects of the recently proposed DMC-CIPSI approach consisting in using selected Configuration Interaction (SCI) approaches such as CIPSI (Configuration Interaction using a…
Toward an improved control of the fixed-node error in quantum Monte Carlo: The case of the water molecule
Michel Caffarel, Thomas Applencourt, Emmanuel Giner +1
All-electron Fixed-node Diffusion Monte Carlo (FN-DMC) calculations for the nonrelativistic ground-state energy of the water molecule at equilibrium geometry are presented. The det…