Investigations Into the Role of Native Defects on Photovoltaic and Spintronic Properties in Copper Oxide

Arige Sumanth, Vikash Mishra, Poonam Pandey, M. S.Ramachandra Rao, Tejendra Dixit*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Copper(II) oxide(CuO) is a promising contender for photovoltaics, photodetection, photocatalysis, and spintronics in theory, but experimental success in terms of device performance has been limited. We used experimental and theoretical techniques to examine the fascinating optoelectronic and spintronic features of a p-type semiconductor; i.e., copper oxide. Absorption spectra of CuO have revealed intriguing properties such as defect-induced strong absorption in the visible and near-infrared (NIR) regions, making it an attractive candidate for NIR and broadband detection. Additionally, due to its antiferromagnetic characteristics, CuO has potential applications in spintronics. Clearly, these applicability ranges are greatly dependent on the intrinsic material qualities and defects. To gain a better understanding of CuO band structures, defect dynamics, charge distribution, and absorption properties; ab-initio calculations were conducted in a systematic manner. Additionally, the stability of several types of defects has been investigated theoretically in Cu and O-rich environments. The literature is ambiguous about the stability of several defects in CuO, including copper vacancies, oxygen vacancies, and interstitials. Interestingly, it is discovered that VCu-VO di-vacancies and VO are extremely stable in O-deficient environments, whereas VCu is highly stable in O-rich environments. Numerous defects such as copper vacancies, oxygen vacancies, and di-vacancies all contribute significantly to the photovoltaic features such as quantum-efficiency. Furthermore, unlike pristine CuO, defect assisted CuO has a significant magnetic moment as shown by first-principle calculations, making it a suitable option for spintronics. The work will open several features of CuO for next generation devices.

Original languageEnglish
Pages (from-to)522-527
Number of pages6
JournalIEEE Transactions on Nanotechnology
Volume21
DOIs
Publication statusPublished - 2022

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Investigations Into the Role of Native Defects on Photovoltaic and Spintronic Properties in Copper Oxide'. Together they form a unique fingerprint.

Cite this