For the first time, MIT physicists have successfully imaged how heat travels in a superfluid, known as a “second sound,” reports Darren Orf for Popular Mechanics. “While exotic superfluids may not fill up our lives (yet),” writes Orf, “understanding the properties of second wave movement could help questions regarding high-temperature superconductors (again, still at very low temperatures) or the messy physics that lie at the heart of neutron stars.”
Physics World reporter Tim Wogan spotlights how MIT physicists have developed a new technique for measuring the temperature of “second sound,” the movement of heat through a superfluid. “The work could help model a variety of scientifically interesting and poorly understood systems, including high temperature superconductors and neutron stars,” Wogan explains.
MIT has been named to the number two spot in Times Higher Education’s world reputation rankings, reports Times Higher Education. MIT is “dedicated to the teaching of science and technology. The sheer number of Nobel laureates affiliated with the institution – an impressive 101 – reveals the caliber of MIT graduates,” Times Higher Education notes. “Scientific discoveries and technological advances to come out of the college include the first chemical synthesis of penicillin, the development of radar, the discovery of quarks and the invention of magnetic core memory, which aided the development of digital computers.”
Prof. Ernest Moniz and his colleagues have designed a new consortium that plans to create an organized market for hydrogen, reports Llewellyn King for Forbes. This will allow hydrogen to become “a viable option in the pursuit of net-zero emissions,” writes King.
Prof. Erin Kara speaks with Quanta Magazine reporter Michael Greshko about her career as an observational astrophysicist and her work to better understand how black holes behave and reshape galaxies across the universe. “The thing that really got me excited about pursuing astronomy was the discovery aspect: It was just super thrilling to be the first person to look at light that was released from around a black hole a billion years ago,” says Kara.
Senior Lecturer Richard Price and his colleagues have scored a touchdown by uncovering the physics behind a spiral pass, “those perfect throws where the football leaves the player's hand and neatly spins as it arcs through the air,” reports NPR Short Wave host Regina Barber.
Researchers at MIT have discovered 18 supermassive black holes that “are tearing apart nearby stars in ‘oddball’ tidal disruption events,” reports Ava Berger for The Boston Globe. Graduate student Megan Masterson says, “the events are powerful tools to understand the most extreme parts of our universe. They happen about once every 50,000 years, and help scientists learn more about the supermassive black hole at the center of the Milky Way, and black holes in general.”
A more than $40 million investment to add advanced nano-fabrication equipment and capabilities to MIT.nano will significantly expand the center’s nanofabrication capabilities, reports Jon Chesto for The Boston Globe. The new equipment, which will also be available to scientists outside MIT, will allow “startups and students access to wafer-making equipment used by larger companies. These tools will allow its researchers to make prototypes of an array of microelectronic devices.”
MIT researchers have discovered 18 new tidal disruption events (TDEs), “which are huge bursts of energy released as a star is shredded by a black hole,” reports Jess Thomson for Newsweek. “These new discoveries have also helped scientists learn more about what TDEs really are and where they occur,” explains Thomson. “The previous stock of TDEs had only been found in a rare form of galaxy known as a ‘post-starburst’ system, which once created a number of stars but has since stopped.”
MIT researchers have discovered that “stars at the edge of our home galaxy appear to be moving more slowly than expected,” reports Jess Thomson. This discovery “implies that the galaxy itself may be structured differently from how scientists first thought, with the core of the Milky Way possibly containing less dark matter and, therefore, being lighter in mass than first assumed,” explains Thomson.
Researchers at MIT have developed a cathode, the negatively-charged part of an EV lithium-ion battery, using “small organic molecules instead of cobalt,” reports Hannah Northey for Energy Wire. The organic material, "would be used in an EV and cycled thousands of times throughout the car’s lifespan, thereby reducing the carbon footprint and avoiding the need to mine for cobalt,” writes Northey.
Prof. Jonathan Weissman and his colleagues have developed a new tool for monitoring changes in human blood cells, which could one day help researchers predict disease risk, reports Megan Molteni for STAT. “The technology paves the way for a day in the not too distant future where it is conceivable that from a simple blood draw, a doctor could get a sense of what’s going on in that patient’s bone marrow,” writes Molteni, “picking up perturbations there that could help predict a diverse range of diseases.”
Researchers from MIT and elsewhere have proposed a new method to look for primordial black holes (PMBs), reports Jackie Appel for Popular Mechanics. “If there are as many as the team thinks there should be, and they interact with gravity as we expect them to, they should be zooming around in a way that some of them should pass close by various objects in our solar system – including Earth,” explains Appel. “And if that happens, it should actually be enough to disturb the natural orbits of these objects in a way that we can measure.”
Forbes contributor Jamie Carter spotlights a new study co-authored by MIT scientists that suggests, “the absence of carbon dioxide in a rocky planet’s atmosphere—relative to others in the same star system—may indicate the presence of liquid water on the planet’s surface.”
MIT researchers have used machine learning to uncover the different kinds of sentences that most likely to activate the brain’s key language processing centers, reports Kyle Wiggers and Devin Coldewey for TechCrunch. The model, “was able to predict for novel sentences whether they would be taxing on human cognition or not,” they explain.