Enhancing Excited State Characterization in Transition Metal Oxides Through Advanced Wavefunction Methods

ORAL

Abstract

Understanding the nature of excitations in complex materials, particularly in solids and transition metal oxides, is a critical challenge due to the limitations of traditional mean-field methods, which, although often accurate for ground states, offer less reliability for excited states. This study introduces an approach employing selected Configuration Interaction (sCI) and wavefunction optimization techniques to address these challenges, providing a more physically representative depiction of excited states in these systems.

Conventional plane wave methods, even when enhanced with corrections like Hubbard U in Density Functional Theory (DFT), typically yield virtual orbitals that, while not necessarily incorrect, are often "correct for the wrong reasons." These methods lack in capturing the nuanced behavior of excited states, particularly in transition metal compounds. Our approach, utilizing advanced wavefunction methodologies, not only achieves a richer physical representation but also holds significant implications for computational material science. The optimized wavefunctions present a robust foundation for more accurate predictions in various complex behaviors, offering enhanced applicability in other advanced methods such as Diffusion Monte Carlo (DMC) and GW approximations. This synergy underscores the potential for these refined techniques to revolutionize predictive modeling and understanding of electronic excitations in complex materials.

* This work was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division, as part of the Computational Materials Sciences Program and Center for Predictive Simulation of Functional Materials.An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under contract DE-AC02-06CH11357.

Presenters

  • Anouar Benali

    Argonne National Laboratory

Authors

  • Anouar Benali

    Argonne National Laboratory

  • kevin gasperich

    Argonne National Laboratory

  • Jaron T Krogel

    Oak Ridge National Lab

  • Cody A Melton

    Sandia National Laboratories

  • Raymond C Clay

    Sandia National Laboratories

  • joshua P townsend

    Sandia National Laboratories

  • Amanda E Dumi

    Sandia National Laboratories

  • Luke N Shulenburger

    Sandia National Laboratories