27 citations · 36 across the 9 of their papers we have counts for
4 papers · 1 filter
Expressivity of determinantal ansatzes for neural network wave functions
Ni Zhan, William A. Wheeler, Gil Goldshlager +3
Neural network wave functions have shown promise as a way to achieve high accuracy on the many-body quantum problem. These wave functions most commonly use a determinant or sum of…
Quantum Monte Carlo assessment of embedding for for strongly correlated defects: interplay between mean-field starting point and interactions
Kevin G. Kleiner, Sonali Joshi, Rohan Joshi +5
Point defects are of interest for many applications, from quantum sensing to modifying bulk properties of materials. Because of their localized orbitals, the electronic states are…
Graphene-hBN interlayer interactions from quantum Monte Carlo
Kittithat Krongchon, Tawfiqur Rakib, Daniel Palmer +3
The interaction between graphene and hexagonal boron nitride (hBN) plays a pivotal role in determining the electronic and structural properties of graphene-based devices. In this w…
Reproducibility of fixed-node diffusion Monte Carlo across diverse community codes: The case of water-methane dimer
Flaviano Della Pia, Benjamin X. Shi, Yasmine S. Al-Hamdani +30
Fixed-node diffusion quantum Monte Carlo (FN-DMC) is a widely-trusted many-body method for solving the Schrödinger equation, known for its reliable predictions of material and mole…