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 …

Density functional theory and molecular dynamics simulations for resistive switching research

MA Villena, O Kaya, U Schwingenschlögl… - Materials Science and …, 2024 - Elsevier
Resistive switching (RS) devices, often referred to as memristors, have exhibited interesting
electronic performance that could be useful to enhance the capabilities of multiple types of …

Reversible oxygen migration and phase transitions in hafnia-based ferroelectric devices

P Nukala, M Ahmadi, Y Wei, S De Graaf, E Stylianidis… - Science, 2021 - science.org
Unconventional ferroelectricity exhibited by hafnia-based thin films—robust at nanoscale
sizes—presents tremendous opportunities in nanoelectronics. However, the exact nature of …

Deep learning of accurate force field of ferroelectric

J Wu, Y Zhang, L Zhang, S Liu - Physical Review B, 2021 - APS
The discovery of ferroelectricity in HfO 2-based thin films opens up new opportunities for
using this silicon-compatible ferroelectric to realize low-power logic circuits and high-density …

Ordering of Oxygen Vacancies and Related Ferroelectric Properties in

KZ Rushchanskii, S Blügel, M Ležaić - Physical review letters, 2021 - APS
Using density functional theory combined with an evolutionary algorithm, we investigate
ferroelectricity in substoichiometric HfO 2-δ with fixed composition δ= 0.25. We find that …

Reliability of HfO2-Based Ferroelectric FETs: A Critical Review of Current and Future Challenges

N Zagni, FM Puglisi, P Pavan… - Proceedings of the …, 2023 - ieeexplore.ieee.org
Ferroelectric transistors (FeFETs) based on doped hafnium oxide (HfO2) have received
much attention due to their technological potential in terms of scalability, high-speed, and …

A general tensor prediction framework based on graph neural networks

Y Zhong, H Yu, X Gong, H **ang - The Journal of Physical …, 2023 - ACS Publications
Graph neural networks (GNNs) have been shown to be extremely flexible and accurate in
predicting the physical properties of molecules and crystals. However, traditional invariant …

Effects of growth orientations and epitaxial strains on phase stability of thin films

S Liu, BM Hanrahan - Physical Review Materials, 2019 - APS
The discovery of ferroelectricity in both pure and doped HfO 2-based thin films have
revitalized interest in using ferroelectrics for nanoscale device applications. To take …

Metastable ferroelectricity driven by depolarization fields in ultrathin Hf0.5Zr0.5O2

N Siannas, C Zacharaki, P Tsipas… - Communications …, 2022 - nature.com
Abstract As ferroelectric Hf0. 5Zr0. 5O2 (HZO) thickness scales below 10 nm, the switching
characteristics are severely distorted typically showing an antiferroelectric-like behavior …

Comparative study of reliability of ferroelectric and anti-ferroelectric memories

M Pešić, U Schroeder, S Slesazeck… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
With the discovery of the ferroelectric (FE) properties within HfO2, the scaling gap between
state-of-the-art technology nodes and non-volatile memories based on FE materials can be …