Lifeboat Foundation

Maanasa Mendu thinks she’s cracked the code on how to make wind and solar energy affordable.

On Tuesday, Mendu, a 13-year-old from Ohio, won the grand prize in the Discovery Education 3M Young Scientist Challenge for her work in creating a cost-effective “solar leaves” design to create energy. In addition to winning the title of “America’s Top Young Scientist,” she gets $25,000 for her achievement.

The leaves, designed to help developing areas in need of cheaper power sources, cost roughly $5 to make.

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Some of the greatest discoveries in history were found by accident. This could be one of them.

Hydrogen is often described as the fuel of the future, particularly when applied to hydrogen-powered fuel cell vehicles. One of the main obstacles facing this technology — a potential solution to future sustainable transport — has been the lack of a lightweight, safe on-board hydrogen storage material.

A major new discovery by scientists at the universities of Oxford, Cambridge and Cardiff in the UK, and the King Abdulaziz City for Science and Technology (KACST) in Saudi Arabia, has shown that hydrocarbon wax rapidly releases large amounts of hydrogen when activated with catalysts and microwaves.

This discovery of a potential safe storage method, reported in the Nature journal Scientific Reports, could pave the way for widespread adoption of hydrogen-fuelled cars.

A new design for solar cells that uses inexpensive, commonly available materials could rival and even outperform conventional cells made of silicon.

Writing in the Oct. 21 edition of Science, researchers from Stanford and Oxford describe using tin and other abundant elements to create novel forms of perovskite — a photovoltaic crystalline material that’s thinner, more flexible and easier to manufacture than silicon crystals.

“Perovskite semiconductors have shown great promise for making high-efficiency solar cells at low cost,” said study co-author Michael McGehee, a professor of materials science and engineering at Stanford. “We have designed a robust, all-perovskite device that converts sunlight into electricity with an efficiency of 20.3 percent, a rate comparable to silicon solar cells on the market today.”

The new method could play a key role in helping scientists take carbon dioxide out of the air to fight climate change.

Technique to create alcohol from thin air has applications in renewable energy.

They basically put a genie back in its bottle.

I’m no biologist, but from what I understand frogs are kind of like the canary in the coal mine: They breath with their skin, thus environmental disasters will effect them first. So very, very not good.

Peruvian authorities want to know why more than 10,000 endangered frogs living near Lake Titicaca have suddenly died.

The Titicaca Water Frog is considered a “critically endangered” species, according to conservation groups. The giant amphibians, which can weigh more than two pounds, have excessive skin folds that have earned the species a rather wrinkly nickname: scrotum frog.

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(Phys.org)—Over the past few decades, quantum effects have greatly improved many areas of information science, including computing, cryptography, and secure communication. More recently, research has suggested that quantum effects could offer similar advantages for the emerging field of quantum machine learning (a subfield of artificial intelligence), leading to more intelligent machines that learn quickly and efficiently by interacting with their environments.

In a new study published in Physical Review Letters, Vedran Dunjko and coauthors have added to this research, showing that quantum effects can likely offer significant benefits to machine learning.

“The progress in machine learning critically relies on processing power,” Dunjko, a physicist at the University of Innsbruck in Austria, told Phys.org. “Moreover, the type of underlying information processing that many aspects of machine learning rely upon is particularly amenable to quantum enhancements. As quantum technologies emerge, quantum machine learning will play an instrumental role in our society—including deepening our understanding of climate change, assisting in the development of new medicine and therapies, and also in settings relying on learning through interaction, which is vital in automated cars and smart factories.”

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