Porous crystalline materials for memories and neuromorphic computing systems

G Ding, JY Zhao, K Zhou, Q Zheng, ST Han… - Chemical Society …, 2023 - pubs.rsc.org
Porous crystalline materials usually include metal–organic frameworks (MOFs), covalent
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …

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 …

Artificial neuron devices

K He, C Wang, Y He, J Su, X Chen - Chemical Reviews, 2023 - ACS Publications
Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

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

J Yu, X Yang, G Gao, Y Xiong, Y Wang, J Han… - Science …, 2021 - science.org
Developing multifunctional and diversified artificial neural systems to integrate multimodal
plasticity, memory, and supervised learning functions is an important task toward the …

Large-scale and flexible optical synapses for neuromorphic computing and integrated visible information sensing memory processing

YX Hou, Y Li, ZC Zhang, JQ Li, DH Qi, XD Chen… - ACS …, 2020 - ACS Publications
Optoelectronic synapses integrating synaptic and optical-sensing functions exhibit large
advantages in neuromorphic computing for visual information processing and complex …

2D material based synaptic devices for neuromorphic computing

G Cao, P Meng, J Chen, H Liu, R Bian… - Advanced Functional …, 2021 - Wiley Online Library
The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …

Fully printed optoelectronic synaptic transistors based on quantum dot–metal oxide semiconductor heterojunctions

K Liang, R Wang, B Huo, H Ren, D Li, Y Wang… - ACS …, 2022 - ACS Publications
Optoelectronic synaptic transistors with hybrid heterostructure channels have been
extensively developed to construct artificial visual systems, inspired by the human visual …

Recent advances in transistor‐based artificial synapses

S Dai, Y Zhao, Y Wang, J Zhang, L Fang… - Advanced Functional …, 2019 - Wiley Online Library
Simulating biological synapses with electronic devices is a re‐emerging field of research. It
is widely recognized as the first step in hardware building brain‐like computers and artificial …

Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems

M Zhu, T He, C Lee - Applied Physics Reviews, 2020 - pubs.aip.org
With the prospect of a smart society in the foreseeable future, humans are experiencing an
increased link to electronics in the digital world, which can benefit our life and productivity …

An artificial spiking afferent nerve based on Mott memristors for neurorobotics

X Zhang, Y Zhuo, Q Luo, Z Wu, R Midya, Z Wang… - Nature …, 2020 - nature.com
Neuromorphic computing based on spikes offers great potential in highly efficient computing
paradigms. Recently, several hardware implementations of spiking neural networks based …