Solution-processed memristors: performance and reliability
Memristive devices are gaining importance in the semiconductor industry for applications in
information storage, artificial intelligence cryptography and telecommunication. Memristive …
information storage, artificial intelligence cryptography and telecommunication. Memristive …
Two-Dimensional Materials for Brain-Inspired Computing Hardware
Recent breakthroughs in brain-inspired computing promise to address a wide range of
problems from security to healthcare. However, the current strategy of implementing artificial …
problems from security to healthcare. However, the current strategy of implementing artificial …
Collective dynamics of adaptive memristor synapse-cascaded neural networks based on energy flow
The collective dynamics regulated by the field energy has garnered significant attention at
the level of biological neuron networks, but this has not yet been involved in the brain-like …
the level of biological neuron networks, but this has not yet been involved in the brain-like …
Dynamics analysis and FPGA implementation of discrete memristive cellular neural network with heterogeneous activation functions
C Wang, D Luo, Q Deng, G Yang - Chaos, Solitons & Fractals, 2024 - Elsevier
The activation function, as an important component of artificial neural networks, endows
neural networks with rich dynamical phenomena by virtue of its nonlinear properties …
neural networks with rich dynamical phenomena by virtue of its nonlinear properties …
Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks
Biological neural networks do not only include long-term memory and weight multiplication
capabilities, as commonly assumed in artificial neural networks, but also more complex …
capabilities, as commonly assumed in artificial neural networks, but also more complex …
Memristive circuits based on multilayer hexagonal boron nitride for millimetre-wave radiofrequency applications
Radiofrequency switches that drive or block high-frequency electromagnetic signals—
typically, a few to tens of gigahertz—are essential components in modern communication …
typically, a few to tens of gigahertz—are essential components in modern communication …
Density functional theory and molecular dynamics simulations for resistive switching research
Resistive switching (RS) devices, often referred to as memristors, have exhibited interesting
electronic performance that could be useful to enhance the capabilities of multiple types of …
electronic performance that could be useful to enhance the capabilities of multiple types of …
Reconfigurable Vertical Phototransistor with MoTe2 Homojunction for High-Speed Rectifier and Multivalued Logical Circuits
Q Deng, T Zhao, J Zhang, W Yue, L Li, S Li, L Zhu… - ACS …, 2024 - ACS Publications
The most reported two-dimensional (2D) reconfigurable multivalued logic (RMVL) devices
primarily involve a planar configuration and carrier transport, which limits the high-density …
primarily involve a planar configuration and carrier transport, which limits the high-density …
PIM GPT a hybrid process in memory accelerator for autoregressive transformers
Decoder-only Transformer models such as Generative Pre-trained Transformers (GPT) have
demonstrated exceptional performance in text generation by autoregressively predicting the …
demonstrated exceptional performance in text generation by autoregressively predicting the …
An ultra-low power adjustable current-mode analog integrated general purpose artificial neural network classifier
This study introduces a methodology tailored to analog hardware architecture for
implementing an artificial neural network. The fundamental components of the architecture …
implementing an artificial neural network. The fundamental components of the architecture …