Influence of Electronic Structure Modeling and Junction Structure on First-Principles Chiral Induced Spin Selectivity

Martin Sebastian Zöllner, Aida Saghatchi, Vladimiro Mujica, Carmen Herrmann

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We have carried out a comprehensive study of the influence of electronic structure modeling and junction structure description on the first-principles calculation of the spin polarization in molecular junctions caused by the chiral induced spin selectivity (CISS) effect. We explore the limits and the sensitivity to modeling decisions of a Landauer/Green's function/two-component density functional theory approach to CISS. We find that although the CISS effect is entirely attributed in the literature to molecular spin filtering, spin-orbit coupling being partially inherited from the metal electrodes plays an important role in our calculations on ideal carbon helices, even though this effect cannot explain the experimental conductance results. Its magnitude depends considerably on the shape, size, and material of the metal clusters modeling the electrodes. Also, a pronounced dependence on the specific description of exchange interaction and spin-orbit coupling is manifest in our approach. This is important because the interplay between exchange effects and spin-orbit coupling may play an important role in the description of the junction magnetic response. Our calculations are relevant for the whole field of spin-polarized electron transport and electron transfer, because there is still an open discussion in the literature about the detailed underlying mechanism and the magnitude of physical parameters that need to be included to achieve a consistent description of the CISS effect: seemingly good quantitative agreement between simulation and the experiment can be caused by error compensation, because spin polarization as contained in a Landauer/Green's function/two-component density functional theory approach depends strongly on computational and structural parameters.

Original languageEnglish (US)
Pages (from-to)7357-7371
Number of pages15
JournalJournal of Chemical Theory and Computation
Volume16
Issue number12
DOIs
StatePublished - Dec 8 2020

ASJC Scopus subject areas

  • Computer Science Applications
  • Physical and Theoretical Chemistry

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