Conductive bridge random access memory (CBRAM): challenges and opportunities for memory and neuromorphic computing applications
Due to a rapid increase in the amount of data, there is a huge demand for the development
of new memory technologies as well as emerging computing systems for high-density …
of new memory technologies as well as emerging computing systems for high-density …
Resistive random access memory: introduction to device mechanism, materials and application to neuromorphic computing
The modern-day computing technologies are continuously undergoing a rapid changing
landscape; thus, the demands of new memory types are growing that will be fast, energy …
landscape; thus, the demands of new memory types are growing that will be fast, energy …
A novel simple chaotic circuit based on memristor–memcapacitor
In this paper, we focus on a novel simple chaotic circuit with a memristor, a memcapacitor
and a linear inductor in parallel. Then we establish the circuit's dimensionless mathematical …
and a linear inductor in parallel. Then we establish the circuit's dimensionless mathematical …
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 …
A simple fractional-order chaotic system based on memristor and memcapacitor and its synchronization application
Memelements play an important part in the design of high density memory systems and low
power memory. In this paper, we created a novel fractional-order chaotic circuit with a …
power memory. In this paper, we created a novel fractional-order chaotic circuit with a …
Controllable analog resistive switching and synaptic characteristics in ZrO2/ZTO bilayer memristive device for neuromorphic systems
The development of artificial synaptic devices is a crucial step for the realization of efficient
bio-inspired neuromorphic computing systems. In this work, the bilayer ZrO 2/ZTO-based …
bio-inspired neuromorphic computing systems. In this work, the bilayer ZrO 2/ZTO-based …
Cellulose nanocrystal based Bio‐Memristor as a green artificial synaptic device for neuromorphic computing applications
Nanocomposites based on biomaterials are promising candidates for emerging green‐
electronics benefiting from environment‐friendly, renewable, biocompatible, and …
electronics benefiting from environment‐friendly, renewable, biocompatible, and …
Multistability and synchronicity of memristor coupled adaptive synaptic neuronal network
Memristor coupled neuronal networks can simulate the complex interactions between
neurons in biological neuronal networks. These capture the current and synaptic …
neurons in biological neuronal networks. These capture the current and synaptic …
Compliance-free, digital SET and analog RESET synaptic characteristics of sub-tantalum oxide based neuromorphic device
A two terminal semiconducting device like a memristor is indispensable to emulate the
function of synapse in the working memory. The analog switching characteristics of …
function of synapse in the working memory. The analog switching characteristics of …
Influence of oxygen vacancies in ALD HfO2-x thin films on non-volatile resistive switching phenomena with a Ti/HfO2-x/Pt structure
We report a modulation of oxygen vacancies profile in atomic layer deposition (ALD) HfO 2-x
thin films by reducing oxidant pulse time (0.7 s–0.1 s) and study its effect on resistive …
thin films by reducing oxidant pulse time (0.7 s–0.1 s) and study its effect on resistive …