This microchip is the size of a grain of sand, and its job is to track data.
Inspired by nature, the latest microchip can dissolve and fly.
Continue reading “Flying microchips the size of sand are tracking air data. Watch them fly” »
A test version of the company’s Zhuque-3 rocket soared about 1,150 feet (350 meters) high on Jan. 19.
This can free humans from taking on those tedious — and potentially dangerous — jobs, but it also means manufacturers need to build or buy a new robot every time they find a new task they want to automate.
General purpose robots — ones that can do many tasks — would be far more useful, but developing a bot with anywhere near the versatility of a human worker has thus far proven out of reach.
Continue reading “See the humanoid robots that will build new BMWs” »
Astronomers are using it to peer back to near “cosmic dawn,” a time when the first stars and galaxies were forming. And JWST is showing that these early galaxies are different than astronomers had anticipated, in a plethora of ways: Some are settling into shapes we didn’t think were possible so early after the Big Bang. Others are unexpectedly large.
And recent research shows that even the black holes in the early universe were odd — they’re way bigger than they should be, relative to the mass of the galaxy around them. Unexpectedly, JWST is spotting mammoth black holes anchoring relatively small galaxies.
The branch of mathematics known as topology has become a cornerstone of modern physics thanks to the remarkable—and above all reliable—properties it can impart to a material or system. Unfortunately, identifying topological systems, or even designing new ones, is generally a tedious process that requires exactly matching the physical system to a mathematical model.
Researchers at the University of Amsterdam and the École Normale Supérieure of Lyon have demonstrated a model-free method for identifying topology, enabling the discovery of new topological materials using a purely experimental approach. The research is published in the journal Proceedings of the National Academy of Sciences.
Topology encompasses the properties of a system that cannot be changed by any “smooth deformation.” As you might be able to tell from this rather formal and abstract description, topology began its life as a branch of mathematics. However, over the last few decades physicists have demonstrated that the mathematics underlying topology can have very real consequences. Topological effects can be found in a wide range of physical systems, from individual electrons to large-scale ocean currents.
A University of Massachusetts Amherst team has made a major advance toward modeling and understanding how intrinsically disordered proteins (IDPs) undergo spontaneous phase separation, an important mechanism of subcellular organization that underlies numerous biological functions and human diseases.
IDPs play crucial roles in cancer, neurodegenerative disorders and infectious diseases. They make up about one-third of proteins that human bodies produce, and two-thirds of cancer-associated proteins contain large, disordered segments or domains. Identifying the hidden features crucial to the functioning and self-assembly of IDPs will help researchers understand what goes awry with these features when diseases occur.
In a paper published in the Journal of the American Chemical Society, senior author Jianhan Chen, professor of chemistry, describes a novel way to simulate phase separations mediated by IDPs, an important process that has been difficult to study and describe.
Albert Einstein was one smart cookie; there’s no doubt about it. But even he knew his general theory of relativity – the 21st century’s answer to Newton’s universal theory of gravity – wasn’t perfect.
Like the second-hand car you bought using your first paycheck, it does the job for day-to-day errands. Push it too hard up a steep hill or park it near a quantum strip mall, and that engine shudders to a standstill.
Peoples’ Friendship University of Russia astrophysics grad student Hamidreza Fazlollahi’s solution is to dive under the hood and see which components aren’t as essential as they seem.
In 1,859, French astronomer and mathematician Urbain Le Verrier detected something strange: Mercury deviated in its dance around the Sun, defying the orderly precession predicted by Newtonian physics.
This odd anomaly couldn’t be explained by unknown planets tugging at Mercury’s orbit; only by physicist Albert Einstein’s 1915 general theory of relativity, which describes how gravity creates curves in the fabric of space-time.
Einstein’s general theory has held strong in the century since, but there are a few things about the Universe his mind-bending model can’t explain. It breaks down in the centers of black holes and at the dawn of the Universe, for example, and doesn’t fit very easily with quantum mechanics, leading some physicists to ponder alternative takes on how gravity works.
In chemistry, structure is everything. Compounds with the same chemical formula can have different properties depending on the arrangement of the molecules they’re made of. And compounds with a different chemical formula but a similar molecular arrangement can have similar properties.
Graphene and a form of boron nitride called hexagonal boron nitride fall into the latter group. Graphene is made up of carbon atoms. Boron nitride, BN, is composed of boron and nitrogen atoms. While their chemical formulas differ, they have a similar structure —so similar that many chemists call hexagonal boron nitride “white graphene.”
Carbon-based graphene has lots of useful properties. It’s thin but strong, and it conducts heat and electricity very well, making it ideal for use in electronics.
