Optical Enhancement of Indirect Bandgap 2D Transition Metal Dichalcogenides for Multi‐Functional Optoelectronic Sensors
The unique electrical and optical properties of transition metal dichalcogenides (TMDs)
make them attractive nanomaterials for optoelectronic applications, especially optical …
make them attractive nanomaterials for optoelectronic applications, especially optical …
Memristor-based neural networks: a bridge from device to artificial intelligence
Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …
intelligence has been highlighted in many fields, among which the memristor-based artificial …
Back-end-of-line compatible large-area molybdenum disulfide grown on flexible substrate: enabling high-performance low-power memristor applications
Transition-metal dichalcogenides (TMDs) in flexible technology can offer large-area
scalability and high-density integration with a low power consumption. However …
scalability and high-density integration with a low power consumption. However …
Near‐Infrared Optical Synapses Based on Multilayer MoSe2 Moiré Superlattice for Artificial Retina
Near‐infrared (NIR) synaptic devices have attracted great attention in the field of NIR vision
sensors due to their highly parallel sensing and memory functions, which emulate the basic …
sensors due to their highly parallel sensing and memory functions, which emulate the basic …
Organic frameworks memristor: An emerging candidate for data storage, artificial synapse, and neuromorphic device
Z Xu, Y Li, Y Xia, 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 …
Self‐assembled vapor-transport-deposited SnS nanoflake-based memory devices with synaptic learning properties
The most salient features of resistive switching (RS) devices are low energy consumption,
fast switching speed, and high-density integration, which render them promising candidates …
fast switching speed, and high-density integration, which render them promising candidates …
A neotype self-rectifying Cu3SnS4-MoO3 synaptic memristor for neuromorphic applications
W Wei, H Sun, X Dong, Q Lu, F Yang, Y Zhao… - Chemical Engineering …, 2024 - Elsevier
Self-rectifying memristor with integrated excellent bio-synaptic behaviors are great potential
to realize high-density memristor neuromorphic networks with self-inhibition of stealth …
to realize high-density memristor neuromorphic networks with self-inhibition of stealth …
Memristors based on 2D MoSe 2 nanosheets as artificial synapses and nociceptors for neuromorphic computing
Neuromorphic computing inspired by the human brain is highly desirable in the artificial
intelligence age. Thus, it is essential to comprehensively investigate the neuromorphic …
intelligence age. Thus, it is essential to comprehensively investigate the neuromorphic …
Nanoporous MoS2 Field-Effect Transistor Based Artificial Olfaction: Achieving Enhanced Volatile Organic Compound Detection Inspired by the Drosophila Olfactory …
Olfaction, a primal and effective sense, profoundly impacts our emotions and instincts. This
sensory system plays a crucial role in detecting volatile organic compounds (VOCs) and …
sensory system plays a crucial role in detecting volatile organic compounds (VOCs) and …
[HTML][HTML] The trend of synthesized 2D materials toward artificial intelligence: memory technology and neuromorphic computing
Abstract 2D materials, specifically transition metal dichalcogenides (TMDs), have gained
massive attention for their potential use in high-integration memory technologies due to their …
massive attention for their potential use in high-integration memory technologies due to their …