activity
20162026
most citedEmbracing a new era of highly efficient and productive quantum Monte Carlo simulations

7 citations · 19 across the 12 of their papers we have counts for

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physics.chem-ph20252 cited

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…

physics.chem-ph2024

Quantum mechanical dataset of 836k neutral closed shell molecules with upto 5 heavy atoms from CNOFSiPSClBr

Danish Khan, Anouar Benali, Scott Y. H. Kim +2

We introduce the Vector-QM24 (VQM24) dataset comprehensively covering all possible neutral closed-shell small organic and inorganic molecules with up to five heavy (\textit{p}-bloc…

physics.chem-ph2022

The binding of atomic hydrogen on graphene from density functional theory and diffusion Monte Carlo calculations

Amanda Dumi, Shiv Upadhyay, Leonardo Bernasconi +3

In this work density functional theory (DFT) and diffusion Monte Carlo (DMC) methods are used to calculate the binding energy of a H atom chemisorbed on the graphene surface. The P…

physics.chem-ph2021

Importance of van der Waals interactions in hydrogen adsorption on a silicon-carbide nanotube revisited with vdW-DFT and quantum Monte Carlo

Genki I. Prayogo, Hyeondeok Shin, Anouar Benali +2

DFT is a valuable tool for calculating adsorption energies toward designing materials for hydrogen storage. However, dispersion forces being absent from the theory, it remains uncl…

physics.chem-ph2020

Taming the fixed-node error in diffusion Monte Carlo via range separation

Anthony Scemama, Emmanuel Giner, Anouar Benali +1

By combining density-functional theory (DFT) and wave function theory (WFT) via the range separation (RS) of the interelectronic Coulomb operator, we obtain accurate fixed-node dif…

physics.chem-ph2020

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…