Optimization of Ferroelectric Properties of HfO2-Based Thin Films by Ion Irradiation

  • Ningtao Liao
  • , Xin Lin
  • , Bingyan Zhu
  • , Xiangli Zhong
  • , Limei Jiang
  • , Xiaoping Ouyang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In order to explore ion irradiation optimization schemes for HfO2-based ferroelectric films, this article combines the Monte Carlo (MC) method with the phase-field method to establish a multiscale model that correlates micro vacancy and macro ferroelectric properties of thin films. This study indicates that ions, such as He, Ar, and Fe, can optimize the ferroelectric properties of thin films, while H ions are unsuitable for irradiation optimization. The synergistic effect of concentration and distribution of ion-induced ion oxygen vacancies is the key microscopic factor affecting the film's ferroelectric properties. Oxygen vacancy defects with a concentration of 1 × 1022 cm-3 and uniform distribution could maximize the optimization of thin film's ferroelectric performance. Oxygen vacancy's concentration and distribution are, respectively, mainly determined by the ion dose and type. Adjusting the incidence angle of ion can, to some extent, solve the problem of uneven distribution of oxygen vacancies. Through extensive simulation analysis, we found that Ar ions, when administered at an incidence energy of 400 keV and dosage of 5 × 1015 ions/cm2, exhibit the most significant optimization effect on the ferroelectric properties of the thin film, resulting in a remarkable 46% increase in remanent polarization compared to the pre-irradiation state. This work elucidates the fundamental principles of optimizing the ferroelectric properties of HfO2 -based thin films by ion irradiation and provides appropriate irradiation conditions, thus offering theoretical support for experimental endeavors in ion irradiation-based modification and optimization.

Original languageEnglish
Article number3383160
Pages (from-to)1208-1217
Number of pages10
JournalIEEE Transactions on Nuclear Science
Volume71
Issue number5
DOIs
StatePublished - 1 May 2024
Externally publishedYes

Keywords

  • Computational material science
  • HfO2-based materials
  • ferroelectric thin film
  • ion implantation
  • oxygen vacancy
  • radiation dosage
  • transformation behavior

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