Recent advances and future prospects for memristive materials, devices, and systems
Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
[HTML][HTML] A compute-in-memory chip based on resistive random-access memory
Realizing increasingly complex artificial intelligence (AI) functionalities directly on edge
devices calls for unprecedented energy efficiency of edge hardware. Compute-in-memory …
devices calls for unprecedented energy efficiency of edge hardware. Compute-in-memory …
Recent developments in 2D transition metal dichalcogenides: phase transition and applications of the (quasi-) metallic phases
The advent of two-dimensional transition metal dichalcogenides (2D-TMDs) has led to an
extensive amount of interest amongst scientists and engineers alike and an intensive …
extensive amount of interest amongst scientists and engineers alike and an intensive …
Compute-in-memory chips for deep learning: Recent trends and prospects
Compute-in-memory (CIM) is a new computing paradigm that addresses the memory-wall
problem in hardware accelerator design for deep learning. The input vector and weight …
problem in hardware accelerator design for deep learning. The input vector and weight …
Emergent ferroelectricity in subnanometer binary oxide films on silicon
The critical size limit of voltage-switchable electric dipoles has extensive implications for
energy-efficient electronics, underlying the importance of ferroelectric order stabilized at …
energy-efficient electronics, underlying the importance of ferroelectric order stabilized at …
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 …
Resistive switching materials for information processing
The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
The future of memristors: Materials engineering and neural networks
K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …
booming, and neural networks have become the hot research direction. However, due to the …
Wafer-scale integration of two-dimensional materials in high-density memristive crossbar arrays for artificial neural networks
Two-dimensional materials could play an important role in beyond-CMOS (complementary
metal–oxide–semiconductor) electronics, and the development of memristors for information …
metal–oxide–semiconductor) electronics, and the development of memristors for information …