Nonempirical Prediction of the Length-Dependent Ionization Potential in Molecular Chains

Guy Ohad, Michal Hartstein, Tim Gould, Jeffrey B. Neaton, Leeor Kronik*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The ionization potential of molecular chains is well-known to be a tunable nanoscale property that exhibits clear quantum confinement effects. State-of-the-art methods can accurately predict the ionization potential in the small molecule limit and in the solid-state limit, but for intermediate, nanosized systems prediction of the evolution of the electronic structure between the two limits is more difficult. Recently, optimal tuning of range-separated hybrid functionals has emerged as a highly accurate method for predicting ionization potentials. This was first achieved for molecules using the ionization potential theorem (IPT) and more recently extended to solid-state systems, based on an ansatz that generalizes the IPT to the removal of charge from a localized Wannier function. Here, we study one-dimensional molecular chains of increasing size, from the monomer limit to the infinite polymer limit using this approach. By comparing our results with other localization-based methods and where available with experiment, we demonstrate that Wannier-localization-based optimal tuning is highly accurate in predicting ionization potentials for any chain length, including the nanoscale regime.

Original languageEnglish
JournalJournal of Chemical Theory and Computation
DOIs
Publication statusPublished Online - 13 Aug 2024

Funding

This work was supported via U.S.-Israel NSF Binational Science Foundation Grant No. DMR-2015991 and by the Israel Science Foundation. The authors thank Nadav Ohad for graphic design. T.G. and L.K. were supported by an Australian Research Council (ARC) Discovery Project (DP200100033). T.G. was supported by an ARC Future Fellowship (FT210100663). L.K. was additionally supported by the Aryeh and Mintzi Katzman Professorial Chair and the Helen and Martin Kimmel Award for Innovative Investigation. Publisher Copyright: © 2024 The Authors. Published by American Chemical Society.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Physical and Theoretical Chemistry

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