A new study led by postdoctoral researchers Stefano Ippolito and Francesca Urban at Drexel University has uncovered a surprising thermal behavior in a lesser-studied variant of MXene, a class of ...

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 ...

Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets.

Scientists maximize the efficiency of hafnia-based ferroelectric memory devices. A research team led by Professor Jang-Sik Lee from the Department of Materials Science and Engineering and the ...

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...

Researchers develop atom-thin material that cuts memory energy use tenfold, opening the door to ultra-efficient AI, mobile tech and data processing. (Nanowerk News) Memory units are essential ...

A new study reveals that insulating buffer layers are no longer needed for ultrathin magnetic racetrack devices, unlocking new paths for seamless integration with functional substrates. Modern ...