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Artificial neuron devices
Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …
biological systems have long been a coveted goal. Recent advancements in flexible …
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 …
Two-dimensional materials for next-generation computing technologies
Rapid digital technology advancement has resulted in a tremendous increase in computing
tasks imposing stringent energy efficiency and area efficiency requirements on next …
tasks imposing stringent energy efficiency and area efficiency requirements on next …
Synthesis, modulation, and application of two-dimensional TMD heterostructures
R Wu, H Zhang, H Ma, B Zhao, W Li, Y Chen… - Chemical …, 2024 - ACS Publications
Two-dimensional (2D) transition metal dichalcogenide (TMD) heterostructures have
attracted a lot of attention due to their rich material diversity and stack geometry, precise …
attracted a lot of attention due to their rich material diversity and stack geometry, precise …
A comprehensive review on emerging artificial neuromorphic devices
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
The road for 2D semiconductors in the silicon age
Continued reduction in transistor size can improve the performance of silicon integrated
circuits (ICs). However, as Moore's law approaches physical limits, high‐performance …
circuits (ICs). However, as Moore's law approaches physical limits, high‐performance …
Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges
As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …
computing using novel neuromorphic devices. The potential of various emerging materials …
Organic frameworks memristor: An emerging candidate for data storage, artificial synapse, and neuromorphic device
Z Xu, Y Li, Y **a, C Shi, S Chen, C Ma… - Advanced Functional …, 2024 - Wiley Online Library
Memristors have recently become powerful competitors toward artificial synapses and
neuromorphic computation, arising from their structural and electrical similarity to biological …
neuromorphic computation, arising from their structural and electrical similarity to biological …
Nanostructured perovskites for nonvolatile memory devices
Q Liu, S Gao, L Xu, W Yue, C Zhang, H Kan… - Chemical Society …, 2022 - pubs.rsc.org
Perovskite materials have driven tremendous advances in constructing electronic devices
owing to their low cost, facile synthesis, outstanding electric and optoelectronic properties …
owing to their low cost, facile synthesis, outstanding electric and optoelectronic properties …
Semiconductor quantum dots for memories and neuromorphic computing systems
The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …
development of high-performance storage technologies and brain-inspired neuromorphic …