Two-dimensional materials for next-generation computing technologies

C Liu, H Chen, S Wang, Q Liu, YG Jiang… - Nature …, 2020 - nature.com
Rapid digital technology advancement has resulted in a tremendous increase in computing
tasks imposing stringent energy efficiency and area efficiency requirements on next …

Ferroelectric domain walls for nanotechnology

D Meier, SM Selbach - Nature Reviews Materials, 2022 - nature.com
Ferroelectric domain walls have emerged as a new type of interface in which the dynamic
characteristics of ferroelectricity introduce the element of spatial mobility, allowing real-time …

[HTML][HTML] Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing

RA John, Y Demirağ, Y Shynkarenko… - Nature …, 2022 - nature.com
Many in-memory computing frameworks demand electronic devices with specific switching
characteristics to achieve the desired level of computational complexity. Existing memristive …

2D materials–based homogeneous transistor-memory architecture for neuromorphic hardware

L Tong, Z Peng, R Lin, Z Li, Y Wang, X Huang, KH Xue… - Science, 2021 - science.org
In neuromorphic hardware, peripheral circuits and memories based on heterogeneous
devices are generally physically separated. Thus, exploration of homogeneous devices for …

Physics for neuromorphic computing

D Marković, A Mizrahi, D Querlioz, J Grollier - Nature Reviews Physics, 2020 - nature.com
Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware
for information processing, capable of highly sophisticated tasks. Systems built with standard …

Resistive switching materials for information processing

Z Wang, H Wu, GW Burr, CS Hwang, KL Wang… - Nature Reviews …, 2020 - nature.com
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 …

From ferroelectric material optimization to neuromorphic devices

T Mikolajick, MH Park, L Begon‐Lours… - Advanced …, 2023 - Wiley Online Library
Due to the voltage driven switching at low voltages combined with nonvolatility of the
achieved polarization state, ferroelectric materials have a unique potential for low power …

A comprehensive review on emerging artificial neuromorphic devices

J Zhu, T Zhang, Y Yang, R Huang - Applied Physics Reviews, 2020 - pubs.aip.org
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

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 …

Volatile and nonvolatile memristive devices for neuromorphic computing

G Zhou, Z Wang, B Sun, F Zhou, L Sun… - Advanced Electronic …, 2022 - Wiley Online Library
Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …