Resistive random access memory (RRAM): an overview of materials, switching mechanism, performance, multilevel cell (MLC) storage, modeling, and applications
In this manuscript, recent progress in the area of resistive random access memory (RRAM)
technology which is considered one of the most standout emerging memory technologies …
technology which is considered one of the most standout emerging memory technologies …
Oxide-based RRAM materials for neuromorphic computing
XL Hong, DJJ Loy, PA Dananjaya, F Tan… - Journal of materials …, 2018 - Springer
In this review, a comprehensive survey of different oxide-based resistive random-access
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …
Verification and mitigation of ion migration in perovskite solar cells
Metal halide perovskite materials have shown versatile functionality for a variety of
optoelectronic devices. Remarkable progress in device performance has been achieved for …
optoelectronic devices. Remarkable progress in device performance has been achieved for …
The strategies of filament control for improving the resistive switching performance
With the rapid application of artificial intelligence in daily life and work, the traditional von
Neumann architecture device faces the limitation of scalability and high energy …
Neumann architecture device faces the limitation of scalability and high energy …
Memristors with biomaterials for biorealistic neuromorphic applications
Electronic devices with biomaterials have paved a way toward “green electronics” to create
a sustainable future. Memristors are drawing growing attention with integrated sensing …
a sustainable future. Memristors are drawing growing attention with integrated sensing …
Recent progress in artificial synaptic devices: materials, processing and applications
Artificial synapses are memristor-based devices mimicking biological synapses, and they
are used in neuromorphic computing systems that process information in a parallel, energy …
are used in neuromorphic computing systems that process information in a parallel, energy …
[HTML][HTML] Resistive switching in emerging materials and their characteristics for neuromorphic computing
Resistive random access memory would be an important component of microelectronics in
the era of big data storage due to its efficient characteristics such as low cost, fast operating …
the era of big data storage due to its efficient characteristics such as low cost, fast operating …
Halide perovskites for applications beyond photovoltaics
In recent years, halide perovskites have been attracting intense attention as novel materials
for photovoltaic applications due to their high carrier mobility, extraordinarily long carrier …
for photovoltaic applications due to their high carrier mobility, extraordinarily long carrier …
Promising materials and synthesis methods for resistive switching memory devices: a status review
In recent years, the emergence of memory devices, especially resistive random-access
memories (RRAM), has been a front-runner in many technological applications. This is due …
memories (RRAM), has been a front-runner in many technological applications. This is due …
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 …