activity
20172021
most citedNECI: N-Electron Configuration Interaction with emphasis on state-of-the-art stochastic methods

99 citations · 145 across the 3 of their papers we have counts for

collaborators

13 papers

physics.chem-ph2021

Fixed and partial-node approximations in Slater determinant space for molecules

Nick S. Blunt

We present a study of fixed and partial-node approximations in Slater determinant basis sets, using full configuration interaction quantum Monte Carlo (FCIQMC) to perform sampling.…

physics.chem-ph2020

Efficient multireference perturbation theory without high-order reduced density matrices

Nick S. Blunt, Ankit Mahajan, Sandeep Sharma

We present a stochastic approach to perform strongly contracted n-electron valence state perturbation theory (SC-NEVPT), which only requires one- and two-body reduced density matri…

physics.comp-ph202099 cited

NECI: N-Electron Configuration Interaction with emphasis on state-of-the-art stochastic methods

Kai Guther, Robert J. Anderson, Nick S. Blunt +22

We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo algorithm, a method based on a stochastic application of the Hamiltonia…

physics.chem-ph2019

Multireference configuration interaction and perturbation theory without reduced density matrices

Ankit Mahajan, Nick S. Blunt, Iliya Sabzevari +1

The computationally expensive evaluation and storage of high-rank reduced density matrices (RDMs) has been the bottleneck in the calculation of dynamic correlation for multireferen…

physics.chem-ph2019

A hybrid approach to extending selected configuration interaction and full configuration interaction quantum Monte Carlo

Nick S. Blunt

We present an approach to combining selected configuration interaction (SCI) and initiator full configuration interaction quantum Monte Carlo (i-FCIQMC). In the current i-FCIQMC sc…

physics.chem-ph201930 cited

Preconditioning and perturbative estimators in full configuration interaction quantum Monte Carlo

Nick S. Blunt, Alex J. W. Thom, Charles J. C. Scott

We propose the use of preconditioning in FCIQMC which, in combination with perturbative estimators, greatly increases the efficiency of the algorithm. The use of preconditioning al…