From fundamentals to frontiers: a review of memristor mechanisms, modeling and emerging applications
The escalating demand for artificial intelligence (AI), the internet of things (IoTs), and energy-
efficient high-volume data processing has brought the need for innovative solutions to the …
efficient high-volume data processing has brought the need for innovative solutions to the …
Physics, Structures, and Applications of Fluorite‐Structured Ferroelectric Tunnel Junctions
The interest in ferroelectric tunnel junctions (FTJ) has been revitalized by the discovery of
ferroelectricity in fluorite‐structured oxides such as HfO2 and ZrO2. In terms of thickness …
ferroelectricity in fluorite‐structured oxides such as HfO2 and ZrO2. In terms of thickness …
Silicon‐Compatible Ferroelectric Tunnel Junctions with a SiO2/Hf0.5Zr0.5O2 Composite Barrier as Low‐Voltage and Ultra‐High‐Speed Memristors
H Wang, Z Guan, J Li, Z Luo, X Du, Z Wang… - Advanced …, 2024 - Wiley Online Library
The big data era requires ultrafast, low‐power, and silicon‐compatible materials and
devices for information storage and processing. Here, ferroelectric tunnel junctions (FTJs) …
devices for information storage and processing. Here, ferroelectric tunnel junctions (FTJs) …
Effect of cycling on ultra-thin HfZrO4, ferroelectric synaptic weights
Two-terminal ferroelectric synaptic weights are fabricated on silicon. The active layers
consist of a 2 nm thick WO x film and a 2.7 nm thick HfZrO 4 (HZO) film grown by atomic layer …
consist of a 2 nm thick WO x film and a 2.7 nm thick HfZrO 4 (HZO) film grown by atomic layer …
Ferroelectric Tunnel Junction Memristors for In‐Memory Computing Accelerators
Neuromorphic computing has seen great interest as leaps in artificial intelligence (AI)
applications have exposed limitations due to heavy memory access, with the von Neumann …
applications have exposed limitations due to heavy memory access, with the von Neumann …
Back‐End‐of‐Line Integration of Synaptic Weights using HfO2/ZrO2 Nanolaminates
L Bégon‐Lours, S Slesazeck… - Advanced Electronic …, 2024 - Wiley Online Library
In artificial neural networks, the “synaptic weights” connecting the neurons are adjusted
during the training. Beyond silicon, functionalizing the back‐end‐of‐line (BEOL) of CMOS …
during the training. Beyond silicon, functionalizing the back‐end‐of‐line (BEOL) of CMOS …