Lifeboat Foundation

Kinetic batteries are not your traditional chemical-based storage solutions.

Alternatives to chemical batteries can help fill the power generation drops caused by a grid largely using solar and wind sources.

In a historic achievement, University of Rochester researchers have created a superconducting material at both a temperature and pressure low enough for practical applications.

“With this material, the dawn of ambient superconductivity and applied technologies has arrived,” according to a team led by Ranga Dias, an assistant professor of mechanical engineering and physics. In a paper in Nature, the researchers describe a nitrogen-doped lutetium hydride (NDLH) that exhibits superconductivity at 69 degrees Fahrenheit (20.5 degrees Celsius) and 10 kilobars (145,000 pounds per square inch, or psi) of pressure.

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Companies could one day make superconductive quantum computer chips that function at room temperature thanks to a new material from researchers in the US. Ranga Dias from the University of Rochester and colleagues made a material superconductive at 21°C and pressures less than 1% of those used for existing high-temperature superconductors. ‘The most exciting part is the pressure,’ Dias tells Chemistry World. ‘Even I didn’t think this was possible.’

Together with Ashkan Salamat’s team at the University of Nevada, Las Vegas, the scientists say that electrical resistance in their nitrogen-doped lutetium hydride falls to zero at room temperature. Making room-temperature zero-resistance materials is a chemistry ‘holy grail’ and could fight climate change by reducing the 5% of electricity lost as heat while flowing through the grid.

However, Dias and Salamat’s team hasn’t been able to fully confirm the new material’s structure. As hydrogen atoms are so small they don’t easily diffract the x-rays used to work out the material’s composition. And this is an important reservation, considering the publisher of the team’s previous high-temperature superconductor paper retracted it.

Structural and biochemical studies of the Mycobacterium smegmatis hydrogenase Huc provides insights into how [NiFe] hydrogenases oxidize trace amounts of atmospheric hydrogen and transfer the electrons liberated via quinone transport.

Studying the relationship between the arrangement of water molecules incorporated into layered materials like clays and the arrangement of ions within these materials has been a difficult experiment to conduct.

However, researchers have now succeeded in observing these interactions for the first time by utilizing a technique commonly used for measuring extremely small masses and molecular interactions at the nanoscale.

The nanoscale refers to a length scale that is extremely small, typically on the order of nanometers (nm), which is one billionth of a meter. At this scale, materials and systems exhibit unique properties and behaviors that are different from those observed at larger length scales. The prefix “nano-” is derived from the Greek word “nanos,” which means “dwarf” or “very small.” Nanoscale phenomena are relevant to many fields, including materials science, chemistry, biology, and physics.

Recent advances in human stem cell-derived brain organoids promise to replicate critical molecular and cellular aspects of learning and memory and possibly aspects of cognition in vitro. Coining the term “organoid intelligence” (OI) to encompass these developments, we present a collaborative program to implement the vision of a multidisciplinary field of OI. This aims to establish OI as a form of genuine biological computing that harnesses brain organoids using scientific and bioengineering advances in an ethically responsible manner. Standardized, 3D, myelinated brain organoids can now be produced with high cell density and enriched levels of glial cells and gene expression critical for learning. Integrated microfluidic perfusion systems can support scalable and durable culturing, and spatiotemporal chemical signaling.

Summary: Utilizing a classic neural network, researchers have created a new artificial intelligence model based on recent biological findings that shows improved memory performance.

Source: OIST

Computer models are an important tool for studying how the brain makes and stores memories and other types of complex information. But creating such models is a tricky business. Somehow, a symphony of signals – both biochemical and electrical – and a tangle of connections between neurons and other cell types creates the hardware for memories to take hold. Yet because neuroscientists don’t fully understand the underlying biology of the brain, encoding the process into a computer model in order to study it further has been a challenge.

Aromatic bonds, particularly strong chemical bonds which form in some ring-shaped molecules, are a crucial building block of the world around us. They appear in everything from proteins to aspirin, and literally millions of natural and synthetic substances in between.

The bonds are very hard to break and to control, and their properties have puzzled chemists for more than a century.

Which is just the motivation chemists needed to break and control them, and now a group of UK researchers has figured out how to twist an aromatic bond until it breaks.

The development represents “an important advance in extraterrestrial research, in which biology has often lagged behind chemistry and geology.”

A new study has revealed a new way to enhance the search for aliens on Mars by teaching artificial intelligence to detect sites that could contain “biosignatures.”

And so, the researchers trained a deep learning framework to map biosignatures in a three-square-kilometer area of Chile’s Atacama Desert… More.

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