The fundamentals and applications of ferroelectric HfO2
U Schroeder, MH Park, T Mikolajick… - Nature Reviews …, 2022 - nature.com
Since the first report of ferroelectricity in a Si-doped HfO2 film in 2011, HfO2-based materials
have attracted much interest from the ferroelectric materials and devices community …
have attracted much interest from the ferroelectric materials and devices community …
Resistive switching materials for information processing
The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
Device-scale atomistic modelling of phase-change memory materials
Computer simulations can play a central role in the understanding of phase-change
materials and the development of advanced memory technologies. However, direct quantum …
materials and the development of advanced memory technologies. However, direct quantum …
Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges
As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …
computing using novel neuromorphic devices. The potential of various emerging materials …
Review of semiconductor flash memory devices for material and process issues
Abstract Vertically integrated NAND (V‐NAND) flash memory is the main data storage in
modern handheld electronic devices, widening its share even in the data centers where …
modern handheld electronic devices, widening its share even in the data centers where …
Highly-scaled and fully-integrated 3-dimensional ferroelectric transistor array for hardware implementation of neural networks
Hardware-based neural networks (NNs) can provide a significant breakthrough in artificial
intelligence applications due to their ability to extract features from unstructured data and …
intelligence applications due to their ability to extract features from unstructured data and …
Hardware implementation of neuromorphic computing using large‐scale memristor crossbar arrays
Y Li, KW Ang - Advanced Intelligent Systems, 2021 - Wiley Online Library
Brain‐inspired neuromorphic computing is a new paradigm that holds great potential to
overcome the intrinsic energy and speed issues of traditional von Neumann based …
overcome the intrinsic energy and speed issues of traditional von Neumann based …
Evolution of phase-change memory for the storage-class memory and beyond
T Kim, S Lee - IEEE Transactions on Electron Devices, 2020 - ieeexplore.ieee.org
In this article, the development history and the technical hurdles of phase-change memory
(PCM) are reviewed and recent progress and future directions are discussed. Prospects of …
(PCM) are reviewed and recent progress and future directions are discussed. Prospects of …
Metavalent Bonding in Layered Phase‐Change Memory Materials
Metavalent bonding (MVB) is characterized by the competition between electron
delocalization as in metallic bonding and electron localization as in covalent or ionic …
delocalization as in metallic bonding and electron localization as in covalent or ionic …
Unraveling Crystallization Mechanisms and Electronic Structure of Phase‐Change Materials by Large‐Scale Ab Initio Simulations
Abstract Ge–Sb–Te (“GST”) alloys are leading phase‐change materials for digital memories
and neuro‐inspired computing. Upon fast crystallization, these materials form rocksalt‐like …
and neuro‐inspired computing. Upon fast crystallization, these materials form rocksalt‐like …