Memristive technologies for data storage, computation, encryption, and radio-frequency communication
Memristive devices, which combine a resistor with memory functions such that voltage
pulses can change their resistance (and hence their memory state) in a nonvolatile manner …
pulses can change their resistance (and hence their memory state) in a nonvolatile manner …
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 …
Recent advances in and perspectives on pseudocapacitive materials for supercapacitors–a review
Because of their apparent and intrinsic advantages—including their high-power density and
high-rate capability, which result from their high surface areas, appropriate pore …
high-rate capability, which result from their high surface areas, appropriate pore …
A full spectrum of computing-in-memory technologies
Computing in memory (CIM) could be used to overcome the von Neumann bottleneck and to
provide sustainable improvements in computing throughput and energy efficiency …
provide sustainable improvements in computing throughput and energy efficiency …
A review of resistive switching devices: performance improvement, characterization, and applications
As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …
processing are in great demand. The resistive switching device is an emerging device with …
Decision trees within a molecular memristor
Profuse dendritic-synaptic interconnections among neurons in the neocortex embed intricate
logic structures enabling sophisticated decision-making that vastly outperforms any artificial …
logic structures enabling sophisticated decision-making that vastly outperforms any artificial …
Memristor-based neural networks: a bridge from device to artificial intelligence
Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …
intelligence has been highlighted in many fields, among which the memristor-based artificial …
Photoelectric memristor-based machine vision for artificial intelligence applications
With the rapid development of next-generation artificial intelligence technology, research on
advanced machine vision has received extensive attention. It is well-known that significant …
advanced machine vision has received extensive attention. It is well-known that significant …
In-memory computing with emerging memory devices: Status and outlook
In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …
suppress the memory bottleneck, which is the major concern for energy efficiency and …
Device and circuit architectures for in‐memory computing
With the rise in artificial intelligence (AI), computing systems are facing new challenges
related to the large amount of data and the increasing burden of communication between …
related to the large amount of data and the increasing burden of communication between …