Neuromorphic computing aims to replicate the functional architecture of the human brain by integrating electronic components that mimic synaptic and neuronal behaviours. Central to this endeavour are ...

(Nanowerk Spotlight) Researchers have been keenly interested in leveraging the useful properties of crystalline nanoporous materials for electronic applications. Ordered frameworks such as ...

Resistive random-access memory (RRAM) is a highly attractive form of RAM, as it promises low-power usage with stable long-term storage, even in the absence of external power. Finding the right ...

Cambridge scientists have developed a new prototype for computer memory that could make for faster chips that could hold up to 100 times more data. The system is made up of barium bridges between ...

A technical paper titled “Thin-film design of amorphous hafnium oxide nanocomposites enabling strong interfacial resistive switching uniformity” was published by researchers at University of Cambridge ...

Phase separation, when molecules part like oil and water, works alongside oxygen diffusion to help memristors -- electrical components that store information using electrical resistance -- retain ...

The big-data era is witnessing significantly increased demand for smarter and more energy-efficient opto-electronic devices, which is driven by advances in artificial intelligence (AI), 5G network, ...

Memristors can be fabricated on a large scale and with high throughput by assembling 2D nanosheets from the dispersion into a resistive switching layer using solution processing techniques. As the ...

For several decades, the semiconductor industry has been looking for alternative memory technologies to fill the gap between dynamic random-access memory (DRAM), the compute system’s main memory, and ...

a, device structure diagram. b, Electrical storage features of the device. c, Optical response of the device. a, Schematic diagram of KPFM measurement. b, Surface potential evolution of the device. c, ...

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...