TDDFT-as(p): a series of high accuracy semi-empirical TDDFT model using minimal auxiliary basis.

ORAL

Abstract

We report a general strategy to efficiently approximate Time-Dependent Density Functional Theory (TDDFT) calculations of molecular response properties such as UV absorption spectra. This strategy leads to a series of highly accurate semiempirical TDDFT models: TDDFT-as(p). In our benchmarking on 39 small to medium sized molecules, TDDFT-as has an energy error of 0.06 eV, 25% of currently best method sTDDFT with an energy error of 0.24 eV. The advantage of our approach is that we can improve the TDDFT-as model by adding one more p function per atom, which makes the TDDFT-asp model with an energy error of 0.04 eV. Moreover, TDDFT-as(p) needs a nearly trivial implementation and is naturally ready for existing quantum chemistry softwares such as Turbomole.

*This work was supported by a startup fund from Case Western Reserve University. This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve University.

Presenters

  • ZEHAO ZHOU

    • Case Western Reserve University

Authors

  • ZEHAO ZHOU

    • Case Western Reserve University
  • Shane M Parker

    • Case Western Reserve University
  • Fabio D Sala

    • National Research Council of Italy