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Oxygen tracer diffusion in amorphous hafnia films for resistive memory.

Dongjae ShinAnton V IevlevKarsten BeckmannJingxian LiPengyu RenNathaniel C CadyYiyang Li
Published in: Materials horizons (2024)
The oxygen diffusion rate in hafnia (HfO 2 )-based resistive memory plays a pivotal role in enabling nonvolatile data retention. However, the information retention times obtained in HfO 2 resistive memory devices are many times higher than the expected values obtained from oxygen diffusion measurements in HfO 2 materials. In this study, we resolve this discrepancy by conducting oxygen isotope tracer diffusion measurements in amorphous hafnia (a-HfO 2 ) thin films. Our results show that the oxygen tracer diffusion in amorphous HfO 2 films is orders of magnitude lower than that of previous measurements on monoclinic hafnia (m-HfO 2 ) pellets. Moreover, oxygen tracer diffusion is much lower in denser a-HfO 2 films deposited by atomic layer deposition (ALD) than in less dense a-HfO 2 films deposited by sputtering. The ALD films yield similar oxygen diffusion times as experimentally measured device retention times, reconciling this discrepancy between oxygen diffusion and retention time measurements. More broadly, our work shows how processing conditions can be used to control oxygen transport characteristics in amorphous materials without long-range crystal order.
Keyphrases
  • room temperature
  • working memory
  • healthcare
  • carbon nanotubes
  • artificial intelligence