Anaerobes respire extracellular electron acceptors by extracellular electron transfer (EET). It is widely recognized that flavins can act as electron shuttles to facilitate this process. Flavin ...

Sport Football Liverpool FC When Florian Wirtz transfer to Liverpool is expected to be completed Liverpool are set to rubber stamp Florian Wirtz's £116m move from Bayer Leverkusen on Friday ...

A research team led by Professor Huang Xingjiu at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a highly stable adaptive integrated interface for ion ...

Jun 18, 2025 Researchers capture nanoparticle organizations to forge new materials Scientists have unveiled a new observational technique that's sensitive to the dynamics of the intrinsic quantum ...

Scientists from the National Graphene Institute at The University of Manchester and the University of Technology Sydney have developed a new way to improve the lifespan of zinc-ion batteries, offering ...

Researchers from the University of Technology Sydney and the University of Manchester 's National Graphene Institute have created a novel method to extend the life of zinc-ion batteries, providing a ...

When built into a layered 2D structure on graphene, this ratio produces long-range, uniform strain across the material. That strain helps the cathode resist breakdown during repeated cycling. The ...

Instrument: 2D material transfer stage with an optical microscope. Manufacturer: High Hope Zhongding Corporation, China. Intended Use: The instrument will be used to control exciton-polariton ...

World’s first 2D material computer built without silicon by US scientists New 2D CMOS computer operates at low voltage and performs logic operations, marking a major step beyond silicon.

A popular 2D active material, molybdenum disulfide (MoS2), just got a platinum upgrade at an atomic level. A study led by researchers from the University of Vienna and Vienna University of ...

We implement transfer learning (TL) to attain efficiency in training and feature extraction by freezing the connection weights of shallow layers of deep learning (DL) models, already trained for a ...