Thermal management in neuromorphic materials, devices, and networks
Abstract Machine learning has experienced unprecedented growth in recent years, often
referred to as an “artificial intelligence revolution.” Biological systems inspire the …
referred to as an “artificial intelligence revolution.” Biological systems inspire the …
Challenges in materials and devices for resistive-switching-based neuromorphic computing
This tutorial describes challenges and possible avenues for the implementation of the
components of a solid-state system, which emulates a biological brain. The tutorial is …
components of a solid-state system, which emulates a biological brain. The tutorial is …
Towards engineering in memristors for emerging memory and neuromorphic computing: A review
Resistive random-access memory (RRAM), also known as memristors, having a very simple
device structure with two terminals, fulfill almost all of the fundamental requirements of …
device structure with two terminals, fulfill almost all of the fundamental requirements of …
The coexistence of threshold and memory switching characteristics of ALD HfO 2 memristor synaptic arrays for energy-efficient neuromorphic computing
The development of bioinspired electronic devices that can mimic the biological synapses is
an essential step towards the development of efficient neuromorphic systems to simulate the …
an essential step towards the development of efficient neuromorphic systems to simulate the …
Neuronal dynamics in HfO x/AlO y-based homeothermic synaptic memristors with low-power and homogeneous resistive switching
We studied the pseudo-homeothermic synaptic behaviors by integrating complimentary
metal–oxide–semiconductor-compatible materials (hafnium oxide, aluminum oxide, and …
metal–oxide–semiconductor-compatible materials (hafnium oxide, aluminum oxide, and …
Partially Oxidized MXene Ti3C2Tx Sheets for Memristor having Synapse and Threshold Resistive Switching Characteristics
Transition metal carbides, called MXenes, can be used for MXene‐based unique electronic
devices such as new types of batteries, energy storage devices, and supercapacitors, where …
devices such as new types of batteries, energy storage devices, and supercapacitors, where …
Functional oxides for photoneuromorphic engineering: toward a solar brain
A Pérez‐Tomás - Advanced Materials Interfaces, 2019 - Wiley Online Library
New device concepts and new computing principles are needed to balance our ever‐
growing appetite for data and information with the realization of the goals of increased …
growing appetite for data and information with the realization of the goals of increased …
Review on role of nanoscale HfO2 switching material in resistive random access memory device
S NM, NN, AN - Emergent Materials, 2022 - Springer
Typical semiconductor data storage devices reach a breaking point in terms of their physical
dimension and storage capacity. Among various upcoming high-density non-volatile …
dimension and storage capacity. Among various upcoming high-density non-volatile …
A memristor crossbar array of titanium oxide for non-volatile memory and neuromorphic applications
In this work 3× 3 crossbar arrays of titanium oxide were fabricated and tested for non-volatile
memory applications and neuromorphic pattern recognition. The non-volatile memory …
memory applications and neuromorphic pattern recognition. The non-volatile memory …
Rapid thermal annealing on the atomic layer-deposited zirconia thin film to enhance resistive switching characteristics
The resistive switching random access memory (RRAM) device has received a great interest
for the next-generation non-volatile memory application, and resistive switching (RS) …
for the next-generation non-volatile memory application, and resistive switching (RS) …