Dynamical memristors for higher-complexity neuromorphic computing

S Kumar, X Wang, JP Strachan, Y Yang… - Nature Reviews …, 2022 - nature.com
Research on electronic devices and materials is currently driven by both the slowing down
of transistor scaling and the exponential growth of computing needs, which make present …

Electrolyte-gated transistors for enhanced performance bioelectronics

F Torricelli, DZ Adrahtas, Z Bao, M Berggren… - Nature Reviews …, 2021 - nature.com
Abstract Electrolyte-gated transistors (EGTs), capable of transducing biological and
biochemical inputs into amplified electronic signals and stably operating in aqueous …

An optoelectronic synapse based on α-In2Se3 with controllable temporal dynamics for multimode and multiscale reservoir computing

K Liu, T Zhang, B Dang, L Bao, L Xu, C Cheng… - Nature …, 2022 - nature.com
Neuromorphic computing based on emerging devices could overcome the von Neumann
bottleneck—the restriction created by having to transfer data between memory and …

2022 roadmap on neuromorphic computing and engineering

DV Christensen, R Dittmann… - Neuromorphic …, 2022 - iopscience.iop.org
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

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 …

Bioinspired interactive neuromorphic devices

J Yu, Y Wang, S Qin, G Gao, C Xu, ZL Wang, Q Sun - Materials Today, 2022 - Elsevier
The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …

Bioinspired mechano-photonic artificial synapse based on graphene/MoS2 heterostructure

J Yu, X Yang, G Gao, Y ** multifunctional and diversified artificial neural systems to integrate multimodal
plasticity, memory, and supervised learning functions is an important task toward the …

Integrated in-sensor computing optoelectronic device for environment-adaptable artificial retina perception application

J Meng, T Wang, H Zhu, L Ji, W Bao, P Zhou… - Nano Letters, 2021 - ACS Publications
With the development and application of artificial intelligence, there is an appeal to the
exploitation of various sensors and memories. As the most important perception of human …

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 …

Neuromorphic nanoelectronic materials

VK Sangwan, MC Hersam - Nature nanotechnology, 2020 - nature.com
Memristive and nanoionic devices have recently emerged as leading candidates for
neuromorphic computing architectures. While top-down fabrication based on conventional …