AI Article Synopsis

  • The text discusses the challenges of accurately calculating energy differences in electronic structures using traditional methods, which aren't flexible enough.
  • It introduces a method called variance matching to improve the accuracy of predicting excitation energies using advanced techniques like variational Monte Carlo and selective configuration interaction.
  • The results from tests on small, complex molecules show that this new approach is effective, particularly when combined with variational Monte Carlo orbital optimization.

Article Abstract

In the regime where traditional approaches to electronic structure cannot afford to achieve accurate energy differences via exhaustive wave function flexibility, rigorous approaches to balancing different states' accuracies become desirable. As a direct measure of a wave function's accuracy, the energy variance offers one route to achieving such a balance. Here, we develop and test a variance matching approach for predicting excitation energies within the context of variational Monte Carlo and selective configuration interaction. In a series of tests on small but difficult molecules, we demonstrate that the approach is effective at delivering accurate excitation energies when the wave function is far from the exhaustive flexibility limit. Results in C, where we combine this approach with variational Monte Carlo orbital optimization, are especially encouraging.

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Source
http://dx.doi.org/10.1063/1.5008743DOI Listing

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