Engineering and Technology
Transistors with ferroelectric ZrxAl₁₋ₓOY crystallized by ZnO growth for multi-level memory and neuromorphic computing
M. M. Islam, A. Ali, et al.
This research showcases the innovative development of ferroelectric ZrxAl₁₋ₓOY, revealing promising results for non-destructive readout and energy-efficient applications. The integration of this material with ZnO has led to impressive performances in memory and neuromorphic computing, with a learning accuracy of 91.82%. The work was conducted by Md Mobaidul Islam, Arqum Ali, Chanju Park, Taebin Lim, Dong Yeon Woo, Joon Young Kwak, and Jin Jang.
Related Publications
Explore these studies to deepen your understanding of the subject.

