activity
20102023
most citedQMCPACK : An open source ab initio Quantum Monte Carlo package for the electronic structure of atoms, molecules, and solids

290 citations · 788 across the 25 of their papers we have counts for

collaborators

26 papers

cond-mat.mes-hall2023★ 1 cited

A first-principles study of bilayer 1T'-WTe2/CrI3: A candidate topological spin filter

Daniel Staros, Brenda Rubenstein, Panchapakesan Ganesh

The ability to manipulate electronic spin channels in 2D materials is crucial for realizing next-generation spintronics. Spin filters are spintronic components that polarize spins…

cond-mat.mtrl-sci2023

Self-consistent convolutional density functional approximations: Application to adsorption at metal surfaces

Sushree Jagriti Sahoo, Qimen Xu, Xiangyun Lei +5

The exchange-correlation (XC) functional in density functional theory is used to approximate multi-electron interactions. A plethora of different functionals is available, but near…

cond-mat.str-el2022★ 10 cited

A Stable, Recursive Auxiliary Field Quantum Monte Carlo Algorithm in the Canonical Ensemble: Applications to Thermometry and the Hubbard Model

Tong Shen, Hatem Barghathi, Jiangyong Yu +2

Many experimentally-accessible, finite-sized interacting quantum systems are most appropriately described by the canonical ensemble of statistical mechanics. Conventional numerical…

physics.chem-ph2022

Machine Learning Diffusion Monte Carlo Forces

Cancan Huang, Brenda M. Rubenstein

Diffusion Monte Carlo (DMC) is one of the most accurate techniques available for calculating the electronic properties of molecules and materials, yet it often remains a challenge…

cond-mat.mtrl-sci2022★ 16 cited

Error Cancellation in Diffusion Monte Carlo Calculations of Surface Chemistry

Gopal R. Iyer, Brenda M. Rubenstein

Diffusion Monte Carlo (DMC) is being recognized as a higher-accuracy, albeit more computationally expensive, alternative to Density Functional Theory (DFT) for energy predictions o…

physics.chem-ph2021★ 1 cited

Gaussian Processes for Finite Size Extrapolation of Many-Body Simulations

Edgar Josué Landinez Borda, Kenneth O. Berard, Annette Lopez +1

Key to being able to accurately model the properties of realistic materials is being able to predict their properties in the thermodynamic limit. Nevertheless, because most many-bo…