Study of morphology effects on magnetic interactions and band gap variations for 3$d$ late transition metal bi-doped ZnO nano structures by hybrid DFT calculations
Soumendu Datta, Gopi Chandra Kaphle, Sayan Baral, Abhijit Mookerjee

TL;DR
This study uses hybrid DFT calculations to investigate how the shape of ZnO nano structures influences magnetic interactions and band gap tuning in bi-doped systems with 3d transition metals, revealing shape-dependent magnetic coupling and band gap variations.
Contribution
It introduces a detailed analysis of morphology effects on magnetic interactions and band gaps in bi-doped ZnO nano structures using hybrid DFT, highlighting shape-dependent properties.
Findings
Magnetic coupling remains mostly antiferromagnetic across morphologies.
Mn doping shows a transition from ferromagnetic to antiferromagnetic coupling.
Shape significantly affects band gap variations, enabling tunability.
Abstract
Using density functional theory (DFT) based electronic structure calculations, the effects of morphology of semiconducting nano structures on the magnetic interaction between two magnetic dopant atoms as well as a possibility of tuning band gaps have been studied in case of the bi-doped (ZnO) nano structures with the impurity dopant atoms of the 3 late transition metals (TM) - Mn, Fe, Co, Ni and Cu. To explore the morphology effect, three different structures of the host (ZnO) nano-system having different degrees of spatial confinement, have been considered : a two dimensional (2D) nanosheet, an one dimensional (1D) nanotube and a finite cage-shaped nanocluster. The present study employs hybrid density functional theory to accurately describe the electronic structure of all the systems. It is shown here that the magnetic coupling between the two dopant atoms, remains…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
