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 …
Recent progress in optoelectronic memristors for neuromorphic and in-memory computation
Neuromorphic computing has been gaining momentum for the past decades and has been
appointed as the replacer of the outworn technology in conventional computing systems …
appointed as the replacer of the outworn technology in conventional computing systems …
Forming-free Pt/Al2O3/HfO2/HfAlOx/TiN memristor with controllable multilevel resistive switching and neuromorphic characteristics for artificial synapse
Controllable multilevel resistive switching (RS) and neuromorphic characteristics emerges
as a promising paradigm to build power-efficient computing hardware for high density data …
as a promising paradigm to build power-efficient computing hardware for high density data …
Demonstration of synaptic and resistive switching characteristics in W/TiO2/HfO2/TaN memristor crossbar array for bioinspired neuromorphic computing
In this study, resistive random-access memory (RRAM)-based crossbar arrays with a
memristor W/TiO 2/HfO 2/TaN structure were fabricated through atomic layer deposition …
memristor W/TiO 2/HfO 2/TaN structure were fabricated through atomic layer deposition …
Designing a bidirectional, adaptive neural interface incorporating machine learning capabilities and memristor-enhanced hardware
S Shchanikov, A Zuev, I Bordanov, S Danilin… - Chaos, solitons & …, 2021 - Elsevier
Building bidirectional biointerfaces is one of the key challenges of modern engineering and
medicine, with dramatic potential impact on bioprosthetics. Two of the major challenges of …
medicine, with dramatic potential impact on bioprosthetics. Two of the major challenges of …
Nonvolatile resistive switching and synaptic characteristics of lead-free all-inorganic perovskite-based flexible memristive devices for neuromorphic systems
Recently, several types of lead halide perovskites have been actively researched for
resistive switching (RS) memory or artificial synaptic devices due to their current–voltage …
resistive switching (RS) memory or artificial synaptic devices due to their current–voltage …
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 …
Highly Efficient Invisible TaOx/ZTO Bilayer Memristor for Neuromorphic Computing and Image Sensing
D Kumar, S Shrivastava, A Saleem… - ACS Applied …, 2022 - ACS Publications
In today's new era, multifunctional devices are most prominent due to their compact design,
reduction in operating cost, and reduced need of being limited to single functional devices …
reduction in operating cost, and reduced need of being limited to single functional devices …
Neuromorphic synapses with high switching uniformity and multilevel memory storage enabled through a Hf-Al-O alloy for artificial intelligence
Due to their high data-storage capability, oxide-based memristors with controllable
conductance properties have attracted great interest in electronic devices for high …
conductance properties have attracted great interest in electronic devices for high …
Emulating synaptic plasticity and resistive switching characteristics through amorphous Ta2O5 embedded layer for neuromorphic computing
Memristors with controllable resistive switching (RS) characteristics gain significant attention
for neuromorphic computing applications in high-density memory and artificial synapses …
for neuromorphic computing applications in high-density memory and artificial synapses …