Recent advances in in-memory computing: exploring memristor and memtransistor arrays with 2D materials
The conventional computing architecture faces substantial challenges, including high
latency and energy consumption between memory and processing units. In response, in …
latency and energy consumption between memory and processing units. In response, in …
Memristive devices based on two-dimensional transition metal chalcogenides for neuromorphic computing
Abstract Two-dimensional (2D) transition metal chalcogenides (TMC) and their
heterostructures are appealing as building blocks in a wide range of electronic and …
heterostructures are appealing as building blocks in a wide range of electronic and …
Artificial neuron and synapse devices based on 2D materials
Neuromorphic systems, which emulate neural functionalities of a human brain, are
considered to be an attractive next‐generation computing approach, with advantages of …
considered to be an attractive next‐generation computing approach, with advantages of …
Functional materials for memristor‐based reservoir computing: Dynamics and applications
G Zhang, J Qin, Y Zhang, G Gong… - Advanced Functional …, 2023 - Wiley Online Library
The booming development of artificial intelligence (AI) requires faster physical processing
units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged …
units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged …
Artificial neuronal devices based on emerging materials: neuronal dynamics and applications
Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …
and currently the subject of intense research motivated by application needs from new …
Recent advances of volatile memristors: Devices, mechanisms, and applications
Due to the rapid development of artificial intelligence (AI) and internet of things (IoTs),
neuromorphic computing and hardware security are becoming more and more important …
neuromorphic computing and hardware security are becoming more and more important …
Multilevel artificial electronic synaptic device of direct grown robust MoS2 based memristor array for in-memory deep neural network
With an increasing demand for artificial intelligence, the emulation of the human brain in
neuromorphic computing has led to an extraordinary result in not only simulating synaptic …
neuromorphic computing has led to an extraordinary result in not only simulating synaptic …
Neuromorphic computing: Devices, hardware, and system application facilitated by two-dimensional materials
Conventional computing based on von Neumann architecture cannot satisfy the demands of
artificial intelligence (AI) applications anymore. Neuromorphic computing, emulating …
artificial intelligence (AI) applications anymore. Neuromorphic computing, emulating …
MoS2 Synapses with Ultra-low Variability and Their Implementation in Boolean Logic
Brain-inspired computing enabled by memristors has gained prominence over the years due
to the nanoscale footprint and reduced complexity for implementing synapses and neurons …
to the nanoscale footprint and reduced complexity for implementing synapses and neurons …
Modeling of memristor-based Hindmarsh-Rose neuron and its dynamical analyses using energy method
It has been extensively studied to employ memristors to model the relationship between the
electromagnetic field and the membrane potential, especially for the research of modeling …
electromagnetic field and the membrane potential, especially for the research of modeling …