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20112026
most citedRecent developments in the PySCF program package

1.2k citations · 3.4k across the 33 of their papers we have counts for

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cond-mat.str-el2018★ 25 cited

Excited-state diffusion Monte Carlo calculations: a simple and efficient two-determinant ansatz

Nick S. Blunt, Eric Neuscamman

We perform excited-state variational Monte Carlo and diffusion Monte Carlo calculations using a simple and efficient wave function ansatz. This ansatz follows the recent variation-…

cond-mat.str-el2018★ 17 cited

Non-linear biases, stochastically-sampled effective Hamiltonians and spectral functions in quantum Monte Carlo methods

Nick S. Blunt, Ali Alavi, George H. Booth

In this article we study examples of systematic biases that can occur in quantum Monte Carlo methods due to the accumulation of non-linear expectation values, and approaches by whi…

cond-mat.str-el2018

Response Formalism within Full Configuration Interaction Quantum Monte Carlo: Static Properties and Electrical Response

Pradipta Kumar Samanta, Nick S. Blunt, George H. Booth

We formulate a general, arbitrary-order stochastic response formalism within the Full Configuration Interaction Quantum Monte Carlo framework. This modified stochastic dynamic allo…

cond-mat.str-el2016★ 114 cited

Accurate exchange-correlation energies for the warm dense electron gas

Fionn D. Malone, N. S. Blunt, Ethan W. Brown +4

Density matrix quantum Monte Carlo (DMQMC) is used to sample exact-on-average -body density matrices for uniform electron gas systems of up to 10 matrix elements via a s…

cond-mat.str-el2014★ 66 cited

Krylov-projected quantum Monte Carlo

N. S. Blunt, Ali Alavi, George H. Booth

We present an approach to the calculation of arbitrary spectral, thermal and excited state properties within the full configuration interaction quantum Monte Carlo framework. This…