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 …

Conformal neuromorphic bioelectronics for sense digitalization

X Zhao, H Zou, M Wang, J Wang, T Wang… - Advanced …, 2024 - Wiley Online Library
Sense digitalization, the process of transforming sensory experiences into digital data, is an
emerging research frontier that links the physical world with human perception and …

Emerging higher-order memristors for bio-realistic neuromorphic computing: A review

R Chaurasiya, LC Shih, KT Chen, JS Chen - Materials Today, 2023 - Elsevier
Memristor devices offer an alternative route to transistor scaling and the exponential growth
of computational resources. Numerous memristors have the potential to be used in …

Spintronic devices for high-density memory and neuromorphic computing–A review

BJ Chen, M Zeng, KH Khoo, D Das, X Fong, S Fukami… - Materials Today, 2023 - Elsevier
Spintronics is a growing research field that focuses on exploring materials and devices that
take advantage of the electron's “spin” to go beyond charge based devices. The most …

Hydrogel‐Based Artificial Synapses for Sustainable Neuromorphic Electronics

J Yan, JPK Armstrong, F Scarpa… - Advanced …, 2024 - Wiley Online Library
Hydrogels find widespread applications in biomedicine because of their outstanding
biocompatibility, biodegradability, and tunable material properties. Hydrogels can be …

Reliable Memristor Crossbar Array Based on 2D Layered Nickel Phosphorus Trisulfide for Energy‐Efficient Neuromorphic Hardware

Z Weng, H Zheng, L Li, W Lei, H Jiang, KW Ang, Z Zhao - Small, 2024 - Wiley Online Library
Designing reliable and energy‐efficient memristors for artificial synaptic arrays in
neuromorphic computing beyond von Neumann architecture remains a challenge. Here …

Memristor-based adaptive neuromorphic perception in unstructured environments

S Wang, S Gao, C Tang, E Occhipinti, C Li… - Nature …, 2024 - nature.com
Efficient operation of control systems in robotics or autonomous driving targeting real-world
navigation scenarios requires perception methods that allow them to understand and adapt …

Unleashing the potential of gallium oxide: A paradigm shift in optoelectronic applications for image sensing and neuromorphic computing applications

NH Al-Hardan, MAA Hamid, A Jalar… - Materials Today …, 2023 - Elsevier
Abstract Gallium oxide (Ga 2 O 3) is an ultrawide-bandgap semiconductor material that has
gained attention in recent years owing to its potential applications in optoelectronic devices …

Dynamical behaviors in discrete memristor-coupled small-world neuronal networks

J Lu, X **e, Y Lu, Y Wu, C Li, M Ma - Chinese Physics B, 2024 - iopscience.iop.org
The brain is a complex network system in which a large number of neurons are widely
connected to each other and transmit signals to each other. The memory characteristic of …

High‐Performance Memristors Based on Few‐Layer Manganese Phosphorus Trisulfide for Neuromorphic Computing

Z Weng, H Zheng, W Lei, H Jiang… - Advanced Functional …, 2024 - Wiley Online Library
While transition‐metal thiophosphate (MPX3) materials have been a subject of extensive
research in recent years, experimental studies on MPX3‐based memristors are still in their …