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.

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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

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article

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

Jeffrey B. Neaton, Leeor Kronik, Michal Hartstein, Guy Ohad et al.
8 citations
Journal of Chemical Theory and Computation
Advanced Chemical Physics Studies
2.70
article

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

Jeffrey B. Neaton, Leeor Kronik, Michal Hartstein, Guy Ohad, Tim Gould
article en
8 citations

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 <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.

Journal of Chemical Theory and Computation
Griffith University (AU), Lawrence Berkeley National Laboratory (US), Kavli Energy NanoScience Institute (US), Weizmann Institute of Science (IL), University of California, Berkeley (US)
National Science Foundation, Israel Science Foundation, Australian Research Council, Division of Materials Research
Climate action
Openalex Percentile: Top 9%
Advanced Chemical Physics Studies
2.70
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Nonempirical Prediction of the Length-Dependent Ionization Potential in Molecular Chains — Jeffrey B. Neaton, Leeor Kronik, et al. · Journal of Chemical Theory and Computation (2024) | TGRS Research Map | TGRS