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Method combines quantum mechanics with machine learning to accurately predict oxide reactions at high temperatures when no experimental data is available; could be used to design clean carbon-neutral processes for steel production and metal recycling.

Extracting metals from oxides at high temperatures is essential not only for producing metals such as steel but also for recycling. Because current extraction processes are very carbon-intensive, emitting large quantities of greenhouse gases, researchers have been exploring new approaches to developing “greener” processes. This work has been especially challenging to do in the lab because it requires costly reactors. Building and running computer simulations would be an alternative, but currently there is no computational method that can accurately predict oxide reactions at high temperatures when no experimental data is available.

A Columbia Engineering team reports that they have developed a new computation technique that, through combining quantum mechanics and machine learning, can accurately predict the reduction temperature of metal oxides to their base metals. Their approach is computationally as efficient as conventional calculations at zero temperature and, in their tests, more accurate than computationally demanding simulations of temperature effects using quantum chemistry methods. The study, led by Alexander Urban, assistant professor of chemical engineering, was published on December 1, 2021 by Nature Communications.

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If anything, the development is yet another indication of the threat actor’s capacity to continually “innovate and identify new techniques and tradecraft to maintain persistent access to victim environments, hinder detection, and confuse attribution efforts,” while also highlighting the “effectiveness of leveraging third parties and trusted vendor relationships to carry out nefarious operations.”

Microsoft had previously dubbed Nobelium as “skillful and methodic operators who follow operations security (OpSec) best practices.”

Ever since the SolarWinds incident came to light, the APT group has been connected to a string of attacks aimed at think tanks, businesses, and government entities around the globe, even as an ever-expanding malware toolbox has been put to use with the goal of establishing a foothold in the attacked system and downloading other malicious components.

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The Neuro-Network.

GOING TO BED AFTER THIS SPECIFIC TIME DAMAGES METABOLIC HEALTH – STUDY

In a study published last week in Diabetologia, both disturbed sleep patterns and going to sleep after midnight were correlated to a less-than-optimal postprandial response. Specifically, poor sleep affected the body’s ability to rope glucose (sugar) levels back to normal after a meal.

Essentially, the study shows how a night of stop-and-go sleep may mess with your body’s ability to regulate blood sugar, and that going to bed late might also be bad for metabolism. In turn, the length of time spent snoozing didn’t seem to make a difference — so even if you went to bed at 1 a.m. and woke up at 12 p.m., the body still processes the first meal of the day suboptimally.

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A floating, robotic film designed at UC Riverside could be trained to hoover oil spills at sea or remove contaminants from drinking water.

Powered by light and fueled by water, the film could be deployed indefinitely to clean remote areas where recharging by other means would prove difficult.

“Our motivation was to make soft robots sustainable and able to adapt on their own to changes in the environment. If sunlight is used for power, this machine is sustainable, and won’t require additional energy sources,” said UCR chemist Zhiwei Li. “The film is also re-usable.”

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NASA is launching a spacecraft destined to slam into an asteroid as part of its Double Asteroid Redirection Test (DART) mission tonight, from the Vandenberg Space Force Base in California. Its purpose: to test whether we’re capable of deflecting a killer asteroid before it strikes Earth.

But before it meets its final destination, NASA is using the spacecraft to test out brand new ion drive technology — and it’s straight out of a science fiction movie.

The space agency’s Evolutionary Xenon Thruster-Commercial (NEXT-C) uses the spacecraft’s solar power to create an electrical field. This field then accelerates a xenon propellant to speeds of up to 90,000 mph, harnessing the resulting stream of “thousands of ion jets” as propulsion.

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Cazenovia High School student Rio Harper taught his computer, using Artificial Intelligence — or A.I. — to create a variety of images. He has made mney off of the creations, and has developed ideas about how A.I. might shape his, and our, futures. Syracuse University Audio Production students T. Michael Collier and Cole Strong have this profile.

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Syngas is an important feedstock for modern chemical industries and can be directly used as fuel. Carbon monoxide (CO) is its main component. Direct conversion of widespread renewable biomass resources into CO can help to achieve sustainable development.

Conventionally, bio-syngas is mainly produced through thermal-chemical processes such as pyrolysis, steam reforming or aqueous reforming, which require high temperature and consume a lot of energy.

Recently, a research team led by Prof. Wang Feng from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences, in collaboration with Prof. Wang Min from Dalian University of Technology, developed a new method to directly convert bio-polyols into CO.

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Astronauts on the International Space Station shared a festive message for people on Earth as they prepare to spend the holidays in orbit.

Expedition 66 crew members, including NASA astronauts Raja Chari, Thomas Marshburn, Kayla Barron, and Mark Vande Hei, ESA astronaut Matthias Maurer, and Roscosmos cosmonauts Anton Shkaplerov and Pyotr Dubrov, will be celebrating Christmas aboard the orbiting lab this year. The crew shared a special holiday message on Twitter, explaining what Christmas means to each of them and reflecting on childhood memories spent with family.

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