Density functional theory based computation of current-induced spin polarization on chiral systems
Juan Jose Palacios a
a Departamento de Física Teórica de la Materia Condensada and Condensed Matter Physics Center (IFIMAC), Universidad Autónoma de Madrid, Madrid 28049, Spain
Materials for Sustainable Development Conference (MATSUS)
Proceedings of MATSUS Spring 2025 Conference (MATSUSSpring25)
Chiral Hybrid Organic-Inorganic Metal Halides : Synthesis – Theory – Applications - #Charm
Sevilla, Spain, 2025 March 3rd - 7th
Organizers: Lorenzo Malavasi and Alessandro Stroppa
Invited Speaker, Juan Jose Palacios, presentation 230
DOI: https://doi.org/10.29363/nanoge.matsusspring.2025.230
Publication date: 16th December 2024

It is generally accepted that spin-dependent electron transmission may appear in chiral systems, even without magnetic components, as long as significant spin–orbit coupling (SOC) is present in some of its elements [1]. However, this chirality-induced spin selectivity (CISS) can only manifest in experiments when system is taken out of equilibrium. Aided by group theoretical considerations and nonequilibrium DFT-based quantum transport calculations, here we show that, when spatial symmetries that forbid a finite spin polarization in equilibrium are broken, a net spin accumulation appears at finite bias in an arbitrary chiral two-terminal nanojunction. Furthermore, when a suitably magnetized detector is introduced into the system, the net spin accumulation, in turn, translates into a finite magneto-conductance [2]. These calculations have been possible thanks to new SOC implementation in our code ANT.Gaussian (https://github.com/juanjosepalacios/ANT.Gaussian). We also extend this analysis to chiral crystals where a similar phenomenology should be present in bulk. We do so thanks to a new code based on the computation of k-dependent transmission and polarization on top of a Hamiltonian obtained with CRYSTAL23.

The author acknowledges financial support from the Spanish MICINN (grants nos. PID2019-109539GB-C43, TED2021-131323B-I00, and PID2022-141712NB-C21), the María de Maeztu Program for Units of Excellence in R&D (grant no. CEX2018-000805-M), Comunidad Autónoma de Madrid through the Recovery, Transformation and Resilience Plan from Spain, by the NextGeneration EU from the European Union (MAD2D-CM-UAM7), the Generalitat Valenciana through the Program Prometeo (2021/017). 

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