HfO2-based ferroelectrics: From enhancing performance, material design, to applications
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 …
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
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 …
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
Unconventional ferroelectricity exhibited by hafnia-based thin films—robust at nanoscale
sizes—presents tremendous opportunities in nanoelectronics. However, the exact nature of …
sizes—presents tremendous opportunities in nanoelectronics. However, the exact nature of …
Deep learning of accurate force field of ferroelectric
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 …
using this silicon-compatible ferroelectric to realize low-power logic circuits and high-density …
Ordering of Oxygen Vacancies and Related Ferroelectric Properties in
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 …
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
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 …
much attention due to their technological potential in terms of scalability, high-speed, and …
A general tensor prediction framework based on graph neural networks
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 …
predicting the physical properties of molecules and crystals. However, traditional invariant …
Effects of growth orientations and epitaxial strains on phase stability of thin films
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 …
revitalized interest in using ferroelectrics for nanoscale device applications. To take …
Metastable ferroelectricity driven by depolarization fields in ultrathin Hf0.5Zr0.5O2
Abstract As ferroelectric Hf0. 5Zr0. 5O2 (HZO) thickness scales below 10 nm, the switching
characteristics are severely distorted typically showing an antiferroelectric-like behavior …
characteristics are severely distorted typically showing an antiferroelectric-like behavior …
Comparative study of reliability of ferroelectric and anti-ferroelectric memories
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 …
state-of-the-art technology nodes and non-volatile memories based on FE materials can be …