Researchers in China have adapted the interlocking structure of mortise-and-tenon joints – as used by woodworkers around the ...

Clemson scientists create pTPADTP, a polymer that could revolutionize AI computing by reducing energy use and enabling ...

The final part of the article is devoted to point out the extent by which the response of the volatile memristor to quasi-static excitations may differ from its dynamics under DC stress. Reporting ...

Abstract: Modeling and stability analysis of memristor-based neural networks (MNNs) are the premise of designs and applications. Different from most previous research, delayed MNNs are described by ...

Abstract: Memristor got a significant attraction to be the next generation memory device due to its small size, simple architecture, high density, and low power consumption. A memristor is a passive ...

Chinese scientists have developed a fully integrated memristor chip with improved learning ability and low energy cost, according to a study recently published in the journal Science. With artificial ...

Functional Materials and Materials Chemistry Laboratory, Department of Physiology, Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Saveetha University, Chennai ...

Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba 305-0044, Ibaraki, Japan ...

The hunt for a way to meet artificial intelligence’s gluttonous demand for energy has made its way to Clemson University, ...