Synaptic devices based neuromorphic computing applications in artificial intelligence
Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …
nanoelectronic devices, which are expected to subvert traditional data storage and …
Recent progress in three-terminal artificial synapses based on 2D materials: from mechanisms to applications
Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …
Progress and challenges for memtransistors in neuromorphic circuits and systems
Due to the increasing importance of artificial intelligence (AI), significant recent effort has
been devoted to the development of neuromorphic circuits that seek to emulate the energy …
been devoted to the development of neuromorphic circuits that seek to emulate the energy …
In-memory computing with emerging memory devices: Status and outlook
In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …
suppress the memory bottleneck, which is the major concern for energy efficiency and …
Reservoir Computing with Charge‐Trap Memory Based on a MoS2 Channel for Neuromorphic Engineering
Novel memory devices are essential for develo** low power, fast, and accurate in‐
memory computing and neuromorphic engineering concepts that can compete with the …
memory computing and neuromorphic engineering concepts that can compete with the …
Ionotronic WS2 memtransistors for 6-bit storage and neuromorphic adaptation at high temperature
Inspired by massive parallelism, an increase in internet-of-things devices, robust
computation, and Big-data, the upsurge research in building multi-bit mem-transistors is ever …
computation, and Big-data, the upsurge research in building multi-bit mem-transistors is ever …
Thermally Driven Multilevel Non-Volatile Memory with Monolayer MoS2 for Brain-Inspired Artificial Learning
The demands of modern electronic components require advanced computing platforms for
efficient information processing to realize in-memory operations with a high density of data …
efficient information processing to realize in-memory operations with a high density of data …
Enhanced Electrochemical Performance and Charge-Transfer Dynamics of 2D MoS2/WO3 Nanocomposites for Futuristic Energy Applications
The hybrid structures of transition-metal dichalcogenides and oxides show enhanced
properties by incorporating the qualities of two pristine materials into a single one. In view of …
properties by incorporating the qualities of two pristine materials into a single one. In view of …
Carbon nanospheres-induced enhanced capacitive dynamics in C/WS2/WO3 nanocomposites for high-performance electrochemical capacitors
This work investigates the impact of carbon nanospheres on the electrochemical
performance of C/WS 2/WO 3 nanocomposites for electrochemical supercapacitors. The …
performance of C/WS 2/WO 3 nanocomposites for electrochemical supercapacitors. The …
Recent progress on two-dimensional neuromorphic devices and artificial neural network
C Tian, L Wei, Y Li, J Jiang - Current Applied Physics, 2021 - Elsevier
Mimicking biological synapses with microelectronic devices is widely considered as the first
step in hardware building artificial neuromorphic networks, which is also the basis of brain …
step in hardware building artificial neuromorphic networks, which is also the basis of brain …