Halide perovskites are at the forefront of active research in many applications, such as high
performance solar cells, photodetectors, and synapses and neurons for neuromorphic …

Inspired by biology, significant advances have been made in the field of electronic skin
(eSkin) or tactile skin. Many of these advances have come through mimicking the …

The Boltzmann machine is a massively parallel computational model capable of solving a
broad class of combinatorial optimization problems. In recent years, it has been successfully …

With the increasing demands and complexity of the neuromorphic computing schemes
utilizing highly efficient analog resistive switching devices, understanding the apparent …

Resistive switching in memristors is being amply investigated for different applications in
nonvolatile memory, neuromorphic computing, and programmable logic devices. Memristors …

Abstract Poly (3, 4‐ethylenedioxythiophene): poly (styrenesulfonate)(PEDOT: PSS) is one of
the most studied conductive polymers, holding great potential in many applications such as …

Memristor devices have been investigated for their properties of resistive modulation that
can be used in data storage and brain-like computation elements as artificial synapses and …

Abstract Deep Reinforcement Learning (RL) demonstrates excellent performance on tasks
that can be solved by trained policy. It plays a dominant role among cutting-edge machine …

This paper reports a new charge controlled practical memristor emulator circuit based on
single current conveyor transconductance amplifier (CCTA). The proposed grounded and …

This paper reports experimental tests of a memristor emulator circuit employing a double
output second generation current conveyor, a four quadrant analog multiplier, a capacitor …