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Researchers are a step closer to realizing a new kind of memory that works according to the principles of spintronics which is analogous to, but different from, electronics. Their unique gallium arsenide-based ferromagnetic semiconductor can act as memory by quickly switching its magnetic state in the presence of an induced current at low power. Previously, such current-induced magnetization switching was unstable and drew a lot of power, but this new material both suppresses the instability and lowers the power consumption too.

The field of quantum computing often gets covered in the technical press; however, another emerging field along similar lines tends to get overlooked, and that is spintronics. In a nutshell, spintronic devices could replace some and offer greater performance at far low power levels. Electronic devices use the motion of electrons for power and communication. Whereas use a transferable property of stationary electrons, their angular momentum, or spin. It’s a bit like having a line of people pass on a message from one to the other rather than have the person at one end run to the other. Spintronics reduces the effort needed to perform computational or memory functions.

Spintronic-based memory devices are likely to become common as they have a useful feature in that they are nonvolatile, meaning that once they are in a certain state, they maintain that state even without power. Conventional computer memory, such as DRAM and SRAM made of ordinary semiconductors, loses its state when it’s powered off. At the core of experimental spintronic devices are that can be magnetized in opposite directions to represent the familiar binary states of 1 or 0, and this switching of states can occur very, very quickly. However, there has been a long and arduous search for the best materials for this job, as magnetizing spintronic materials are no simple matter.

The oxygen evolution reaction (OER) is a chemical process that leads to the generation of molecular oxygen. This reaction is of key importance for the development of clean energy technologies, including water electrolyzers, regenerative fuel cells and rechargeable metal-air batteries.

The extent to which this reaction occurs has so far been limited in many materials, which has restricted the conversion efficiency of some types of technologies. Materials scientists have thus been trying to identify alternative materials, including metals, and hydroxides, that could be used as electrocatalysts to fuel this reaction. The materials identified so far, however, are far from ideal for large-scale implementation, as they are either not particularly resistant or too expensive.

A class of materials widely investigated as possible electrocatalysts for the OER are (MOFs), hybrid and crystalline compounds that consist of a regular array of positively charged metal ions surrounded by organic molecules. While these materials have promising , scientists have yet to identify optimal strategies to enhance their performance.

Artificial intelligence (AI) has solved one of biology’s grand challenges: predicting how proteins curl up from a linear chain of amino acids into 3D shapes that allow them to carry out life’s tasks. Today, leading structural biologists and organizers of a biennial protein-folding competition announced the achievement by researchers at DeepMind, a U.K.-based AI company. They say the DeepMind method will have far-reaching effects, among them dramatically speeding the creation of new medications.

A long-standing and incredibly complex scientific problem concerning the structure and behaviour of proteins has been effectively solved by a new artificial intelligence (AI) system, scientists report.

DeepMind, the UK-based AI company, has wowed us for years with its parade of ever-advancing neural networks that continually trounce humans at complex games such as chess and Go.

All those incremental advancements were about much more than mastering recreational diversions, however.

There’s a lot of buzz around self-driving cars, but autonomous driving technology could revolutionize the construction industry first. That industry hasn’t changed much over the last several decades, according to some experts, making it an ideal candidate for automation.

“The way we build today is largely unchanged from the way we used to build 50 years ago,” said Gaurav Kikani, vice president of Built Robotics. “Within two years, I think we’re really going to turn the corner, and you’re going to see an explosion of robotics being used on construction sites.”

The industry is also faced with a labor shortage that the Covid-19 pandemic has further complicated.

Shockingly, Carroll notes that if our own Earth had formed just one percent farther away from the Sun, it would have suffered a runaway glaciation. By contrast, one percent further in and Earth would have suffered a runaway greenhouse and the fate that befell present-day Venus. “The habitable zone is a planetary tightrope,” writes Carroll.

However, the book does cover the possibility that super-earths and/or gas giant planets that lie in their parent stars’ habitable zones might also harbor planet-sized moons. As the book notes, it’s an idea that Hollywood director James Cameron’s embraced in his ground-breaking movie “Avatar.”

“Envisioning Exoplanets” also offers the reader capsule summaries of the various detection techniques that astronomers have used through the years to remotely explore and characterize these far-flung worlds.