HfO2-based ferroelectrics: From enhancing performance, material design, to applications

H Chen, X Zhou, L Tang, Y Chen, H Luo… - Applied Physics …, 2022 - pubs.aip.org
Nonvolatile memories are in strong demand due to the desire for miniaturization, high-speed
storage, and low energy consumption to fulfill the rapid developments of big data, the …

Characterization and application of PVDF and its copolymer films prepared by spin-coating and Langmuir–Blodgett method

Z Yin, B Tian, Q Zhu, C Duan - Polymers, 2019 - mdpi.com
Poly (vinylidene fluoride)(PVDF) and its copolymers are key polymers, displaying properties
such as flexibility and electroactive responses, including piezoelectricity, pyroelectricity, and …

Enhanced polarization switching characteristics of HfO2 ultrathin films via acceptor-donor co-do**

C Zhou, L Ma, Y Feng, CY Kuo, YC Ku, CE Liu… - Nature …, 2024 - nature.com
In the realm of ferroelectric memories, HfO2-based ferroelectrics stand out because of their
exceptional CMOS compatibility and scalability. Nevertheless, their switchable polarization …

High-precision and linear weight updates by subnanosecond pulses in ferroelectric tunnel junction for neuro-inspired computing

Z Luo, Z Wang, Z Guan, C Ma, L Zhao, C Liu… - Nature …, 2022 - nature.com
The rapid development of neuro-inspired computing demands synaptic devices with ultrafast
speed, low power consumption, and multiple non-volatile states, among other features …

Sub-nanosecond memristor based on ferroelectric tunnel junction

C Ma, Z Luo, W Huang, L Zhao, Q Chen, Y Lin… - Nature …, 2020 - nature.com
Next-generation non-volatile memories with ultrafast speed, low power consumption, and
high density are highly desired in the era of big data. Here, we report a high performance …

A ferroelectric multilevel non-volatile photonic phase shifter

J Geler-Kremer, F Eltes, P Stark, D Stark, D Caimi… - Nature …, 2022 - nature.com
A novel class of programmable integrated photonic circuits has emerged over the past
years, strongly driven by approaches to tackle unsolved computing problems in the optical …

Learning through ferroelectric domain dynamics in solid-state synapses

S Boyn, J Grollier, G Lecerf, B Xu, N Locatelli… - Nature …, 2017 - nature.com
In the brain, learning is achieved through the ability of synapses to reconfigure the strength
by which they connect neurons (synaptic plasticity). In promising solid-state synapses called …

Reproducible ultrathin ferroelectric domain switching for high‐performance neuromorphic computing

J Li, C Ge, J Du, C Wang, G Yang, K ** - Advanced Materials, 2020 - Wiley Online Library
Neuromorphic computing consisting of artificial synapses and neural network algorithms
provides a promising approach for overcoming the inherent limitations of current computing …

Hafnia-based double-layer ferroelectric tunnel junctions as artificial synapses for neuromorphic computing

B Max, M Hoffmann, H Mulaosmanovic… - ACS Applied …, 2020 - ACS Publications
Ferroelectric tunnel junctions (FTJ) based on hafnium zirconium oxide (Hf1–x Zr x O2; HZO)
are a promising candidate for future applications, such as low-power memories and …

Enhancing memory window efficiency of ferroelectric transistor for neuromorphic computing via two‐dimensional materials integration

H **ang, YC Chien, L Li, H Zheng, S Li… - Advanced Functional …, 2023 - Wiley Online Library
In‐memory computing, particularly neuromorphic computing, has emerged as a promising
solution to overcome the energy and time‐consuming challenges associated with the von …