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Electronics & Semiconductors

Shape-morphing brain sensor adheres to curved surfaces for ultrasound neurostimulation

Transcranial focused ultrasound, a non-invasive technique to stimulate specific areas of the brain using high-frequency sound waves, could be a promising treatment strategy for many neurological disorders. Most notably, it ...

Engineering

Scientists develop novel digital encoding system using fluorescent pixels

A team of scientists has developed a novel digital encoding and data storage system based on a combination of microcapsules containing different luminescent dyes and phase change materials. This work represents an important ...

Energy & Green Tech

Organic supramolecular crystals with high hydrogen storage performance could enhance fuel-cell vehicle efficiency

Hydrogen is often seen as the fuel of the future on account of its zero-emission and high gravimetric energy density, meaning it stores more energy per unit of mass compared to gasoline. Its low volumetric density, however, ...

Energy & Green Tech

Untapped potential: Study shows how water systems can help accelerate renewable energy adoption

Stanford-led research reveals how water systems, from desalination plants to wastewater treatment facilities, could help make renewable energy more affordable and dependable. The study, published Sept. 27 in Nature Water, ...

Engineering

New study shows AI can forecast mining disasters

Artificial Intelligence can forecast gas-related incidents in coal mines within half an hour, according to a new study exploring how the technology can reduce the risk of disasters.

Engineering

Bubbling up: Uncovering melt pool dynamics in metal manufacturing

Manually shaking or vibrating molten metal using ultrasonic waves helps reduce air bubbles, cracks and grain sizes in a finished metal part. Metal 3D printing researchers hypothesized that vibrations were the key to increasing ...

Engineering

New carbon storage technology is fastest of its kind

A new way to store carbon captured from the atmosphere, developed by researchers at The University of Texas at Austin, works much faster than current methods without the harmful chemical accelerants they require.