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 …

[HTML][HTML] SnSe/SnS: multifunctions beyond thermoelectricity

D Liu, B Qin, LD Zhao - Materials Lab, 2022 - matlab.labapress.com
Miniaturization, lightweight and highly integration have gradually become the main trends in
the development of modern science and technology. Two-dimensional (2D) SnSe/SnS …

[HTML][HTML] Evolution of the conductive filament system in HfO2-based memristors observed by direct atomic-scale imaging

Y Zhang, GQ Mao, X Zhao, Y Li, M Zhang, Z Wu… - Nature …, 2021 - nature.com
The resistive switching effect in memristors typically stems from the formation and rupture of
localized conductive filament paths, and HfO2 has been accepted as one of the most …

Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing

X Zhu, D Li, X Liang, WD Lu - Nature materials, 2019 - nature.com
Coupled ionic–electronic effects present intriguing opportunities for device and circuit
development. In particular, layered two-dimensional materials such as MoS2 offer highly …

[HTML][HTML] Reservoir computing using dynamic memristors for temporal information processing

C Du, F Cai, MA Zidan, W Ma, SH Lee, WD Lu - Nature communications, 2017 - nature.com
Reservoir computing systems utilize dynamic reservoirs having short-term memory to project
features from the temporal inputs into a high-dimensional feature space. A readout function …

Robust memristors based on layered two-dimensional materials

M Wang, S Cai, C Pan, C Wang, X Lian, Y Zhuo… - Nature …, 2018 - nature.com
Van der Waals heterostructures are formed by stacking layers of different two-dimensional
materials and offer the possibility to design new materials with atomic-level precision. By …

A review of resistive switching devices: performance improvement, characterization, and applications

T Shi, R Wang, Z Wu, Y Sun, J An, Q Liu - Small Structures, 2021 - Wiley Online Library
As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …

SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations

S Choi, SH Tan, Z Li, Y Kim, C Choi, PY Chen… - Nature materials, 2018 - nature.com
Although several types of architecture combining memory cells and transistors have been
used to demonstrate artificial synaptic arrays, they usually present limited scalability and …

[HTML][HTML] Understanding memristive switching via in situ characterization and device modeling

W Sun, B Gao, M Chi, Q Xia, JJ Yang, H Qian… - Nature …, 2019 - nature.com
Owing to their attractive application potentials in both non-volatile memory and
unconventional computing, memristive devices have drawn substantial research attention in …

Stimuli‐responsive memristive materials for artificial synapses and neuromorphic computing

H Bian, YY Goh, Y Liu, H Ling, L Xie… - Advanced Materials, 2021 - Wiley Online Library
Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …