In this study, we demonstrate the implementation of programmable threshold logics using a
32× 32 memristor crossbar array. Thanks to forming-free characteristics obtained by the …

Abstract Two-dimensional (2D) materials have emerged as promising building blocks for
next generation memristive devices, owing to their unique electronic, mechanical, and …

Today's computing systems, to meet the enormous demands of information processing, have
driven the development of brain-inspired neuromorphic systems. However, there are …

In this work, we present a fabrication strategy for high-yield memristor crossbar arrays. Our
approach uses an Al2O3/TiO x-based bilayer memristor with a combination of a dielectric …

There is a need to design a hardware synapse array appropriate for enhancing the
efficiency of neuromorphic computing systems while minimizing energy consumption. This …

The covalent functionalization of black phosphorus quantum dots (BPQDs) with organic
species or polymers will inevitably change or damage their electronic structure and intrinsic …

To mimic the homeostatic functionality of biological neurons, a split-gate field-effect
transistor (SG FET) with a charge trap layer is proposed within a neuron circuit. By adjusting …

In asynchronous Spiking Neural Networks (SNNs), the voltage division between passive
resistive random-access memory (RRAM) arrays and neuron circuits presents a significant …

In this article, we propose a coupling-free readout scheme designed for a hardware neural
network employing memcapacitive devices based on Si MOS capacitors having a charging …

Edge computing devices, which generate, collect, process, and analyze data near the
source, enhance the data processing efficiency and improve the responsiveness in real-time …