Orbital Hybridization Induces Giant Cubic Rashba Effect at Cu/WO3 Interface
Md Aktar Hossain, Saikat Das
Abstract
Harnessing Rashba spin-orbit interaction and related spintronic functionalities has traditionally relied on metallic surfaces or interfaces containing elemental heavy metals. Here, using first-principles calculations and Cu(001)/WO3(001) as a model heterostructure, we show that interfacing a light metal, Cu, with a band insulator, WO3, yields an interface state that exhibits a robust Rashba spin splitting arising from the interplay between linear and cubic Rashba effects. The spin splitting is driven by the strong spin-orbit coupling of W atoms and enabled by W-Cu orbital hybridization at the interface. The cubic Rashba contribution asymptotically grows with Cu thickness and can be explained in terms of cross-coupling between the vacuum/Cu and Cu/WO3 interfaces. This interfacial cross-coupling, however, diminishes at larger Cu thicknesses, allowing us to extract the intrinsic cubic Rashba parameter, which has a giant value of approximately -1.93 eV Å3. In contrast, the linear Rashba parameter is only weakly affected by this cross-coupling and varies from approximately 0.30 to 0.49 eV Å. We further show that sizable linear and cubic Rashba effects persist across several interface geometries and Cu surface orientations, including (110) and (111). Our work identifies the Cu/WO3 interface as a novel light-metal/heavy-element-based oxide platform for exploring the rich spectrum of Rashba physics, including linear and nonlinear spin-orbit phenomena.
Create a lesson
Related papers
AI-guided high-throughput discovery of iridium- and ruthenium-free palladium-oxide catalysts for durable acidic oxygen evolution
Ken J. Jenewein, Faezeh Habib Zadeh, Xiaoxiao Wang et al.
Ultrafast Electron Microscopy: A Quantitative Platform for Nonequilibrium Materials Research
David J. Flannigan, Swarit Ahmed Shadman
From Processing to Functionality: Engineering Accessible Material States in Cu-Embedded SiOx Memristive Devices
Tobias Gergs, Rouven Lamprecht, Sahitya Yarragolla et al.
Crystal symmetry predicts unconventional magnetism
Ziyin Song, Zhong Fang, Chen Fang et al.
Atom-Resolved Machine Learning of Dielectric and Piezoelectric Response
Jinyu Liu, Yingwei Chen, Liyang Ma et al.
Subnanometer thermodynamic overlayers on bimetallic nanoparticles
Caitlin A. McCandler, Xianzhuo Lao, Jie Liu et al.