[HTML][HTML] Ferroelectric materials for neuroinspired computing applications

D Wang, S Hao, B Dkhil, B Tian, C Duan - Fundamental Research, 2023 - Elsevier
In recent years, the emergence of numerous applications of artificial intelligence (AI) has
sparked a new technological revolution. These applications include facial recognition …

A review of hafnium-based ferroelectrics for advanced computing

X Xu, Z Luo, H Sun, Y Xu, L Gao, Z Yu - Solid-State Electronics, 2025 - Elsevier
In the era of data-centric computing, the quantity of data is expected to increase
exponentially. The physical separation of memory and processing units in traditional …

Reliability Study of 1T1C FeRAM Arrays With Hf0.5Zr0.5O₂ Thickness Scaling

J Okuno, T Kunihiro, K Konishi, Y Shuto… - IEEE Journal of the …, 2022 - ieeexplore.ieee.org
We have reported that film thickness scaling of ferroelectric Hf 0.5 Zr 0.5 O 2 (HZO) allows
hafnium-based one-transistor and one-capacitor (1T1C) ferroelectric random-access …

[PDF][PDF] Material development of doped hafnium oxide for non-volatile ferroelectric memory application

M Lederer - 2022 - researchgate.net
The discovery of ferroelectricity in hafnium oxide spurred a growing research eld due to
hafnium oxides compatibility with processes in microelectronics as well as its unique …