Nonempirical Prediction of the Length-Dependent Ionization Potential in Molecular Chains
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 <i>ansatz</i> 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.
Authors
- Jeffrey B. Neaton (ORCID: https://orcid.org/0000-0001-7585-6135)
- Leeor Kronik (ORCID: https://orcid.org/0000-0001-6791-8658)
- Michal Hartstein
- Guy Ohad (ORCID: https://orcid.org/0000-0002-7044-0533)
- Tim Gould (ORCID: https://orcid.org/0000-0002-7191-9124)
Institutions
- Griffith University (AU)
- Lawrence Berkeley National Laboratory (US)
- Kavli Energy NanoScience Institute (US)
- Weizmann Institute of Science (IL)
- University of California, Berkeley (US)
Publication Details
- Journal
- Journal of Chemical Theory and Computation
- Published
- 2024-08-13
- DOI
- https://doi.org/10.1021/acs.jctc.4c00847
- Citations
- 8
- Primary Topic
- Advanced Chemical Physics Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.70
Funders
- National Science Foundation
- Israel Science Foundation
- Australian Research Council
- Division of Materials Research