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 …
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …
Conformal neuromorphic bioelectronics for sense digitalization
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 research frontier that links the physical world with human perception and …
Emerging higher-order memristors for bio-realistic neuromorphic computing: A review
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 …
of computational resources. Numerous memristors have the potential to be used in …
Spintronic devices for high-density memory and neuromorphic computing–A review
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 …
take advantage of the electron's “spin” to go beyond charge based devices. The most …
Hydrogel‐Based Artificial Synapses for Sustainable Neuromorphic Electronics
Hydrogels find widespread applications in biomedicine because of their outstanding
biocompatibility, biodegradability, and tunable material properties. Hydrogels can be …
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 …
neuromorphic computing beyond von Neumann architecture remains a challenge. Here …
Memristor-based adaptive neuromorphic perception in unstructured environments
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 …
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
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 …
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 …
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 …
research in recent years, experimental studies on MPX3‐based memristors are still in their …