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Category: physics – Page 189

Tetraneutron — An Exotic State of Matter discovered

A long-standing question in nuclear physics is whether chargeless nuclear systems can exist. Only neutron stars represent near-pure neutron systems, where neutrons are squeezed together by the gravitational force to very high densities. The experimental search for isolated multi-neutron systems has been an ongoing quest for several decades, with a particular focus on the four-neutron system called the tetraneutron, resulting in only a few indications of its existence so far, leaving the tetraneutron an elusive nuclear system for six decades.

A recently announced experimental discovery of a tetraneutron by an international group led by scientists from Germany’s Technical University of Darmstadt opens doors for new research and could lead to a better understanding of how the universe is put together. This new and exotic state of matter could also have properties that are useful in existing or emerging technologies.

The first announcement of tetraneutron was done by theoretical physicist James Vary during a presentation in the summer of 2014, followed by a research paper in the fall of 2016. He has been waiting to confirm reality through nuclear physics experiments.

Physicists develop printable organic transistors

Scientists at the Institute of Applied Physics at TU Dresden have come a step closer to the vision of a broad application of flexible, printable electronics. The team around Dr. Hans Kleemann has succeeded for the first time in developing powerful vertical organic transistors with two independent control electrodes. The results have recently been published in the renowned online journal Nature Communications.

High-definition roll-up televisions or foldable smartphones may soon no longer be unaffordable luxury goods that can be admired at international electronics trade fairs. High-performance organic transistors are a key necessity for the mechanically flexible electronic circuits required for these applications. However, conventional horizontal organic thin-film transistors are very slow due to the hopping-transport in organic semiconductors, so they cannot be used for applications requiring high frequencies. Especially for logic circuits with low power consumption, such as those used for Radio Frequency Identification (RFID), it is mandatory to develop transistors enabling high operation frequency as well as adjustable device characteristics (i.e., threshold-voltage). The research group Organic Devices and Systems (ODS) at the Dresden Integrated Center for Applied Photophysics (IAPP) of the Institute of Applied Physics headed by Dr.

Gravitational Wave Events With Split Personalities

Deep Follow-up of GW151226 — an ordinary binary or a low-mass ratio merger?

Now that we’ve been detecting gravitational waves.

Gravitational waves are distortions or ripples in the fabric of space and time. They were first detected in 2015 by the Advanced LIGO detectors and are produced by catastrophic events such as colliding black holes, supernovae, or merging neutron stars.

Dead star’s cannibalism of its planetary system is most far-reaching ever witnessed

The violent death throes of a nearby star so thoroughly disrupted its planetary system that the dead star left behind—known as a white dwarf—is sucking in debris from both the system’s inner and outer reaches, UCLA astronomers and colleagues report today.

This is the first case of cosmic cannibalism in which astronomers have observed a white dwarf consuming both rocky-metallic material, likely from a nearby asteroid, and icy material, presumed to be from a body similar to those found in the Kuiper belt at the fringe of our own solar system.

“We have never seen both of these kinds of objects accreting onto a white dwarf at the same time,” said lead researcher Ted Johnson, a physics and astronomy major at UCLA who graduated last week. “By studying these white dwarfs, we hope to gain a better understanding of planetary systems that are still intact.”

Researcher uses math to investigate possibility of time travel

After some serious number crunching, a UBC researcher has come up with a mathematical model for a viable time machine.

Ben Tippett, a mathematics and physics instructor at UBC’s Okanagan campus, recently published a study about the feasibility of . Tippett, whose field of expertise is Einstein’s theory of general relativity, studies black holes and science fiction when he’s not teaching. Using math and physics, he has created a formula that describes a method for time travel.

“People think of time travel as something as fiction,” says Tippett. “And we tend to think it’s not possible because we don’t actually do it. But, mathematically, it is possible.”

Can wormholes act like time machines?

Time travel into the past is a tricky thing. We know of no single law of physics that absolutely forbids it, and yet we can’t find a way to do it, and if we could do it, the possibility opens up all sorts of uncomfortable paradoxes (like what would happen if you killed your own grandfather).

But there could be a way to do it. We just need to find a wormhole first.

Wormholes are shortcuts through space, a tunnel that connects two distant parts of the universe through a very short path. If you could somehow construct a wormhole, you can casually walk down through the tunnel and end up thousands of light years away without even breaking a sweat.

Artificial intelligence has reached a threshold. And physics can help it break new ground

For years, physicists have been making major advances and breakthroughs in the field using their minds as their primary tools. But what if artificial intelligence could help with these discoveries?

Last month, researchers at Duke University demonstrated that incorporating known physics into machine learning algorithms could result in new levels of discoveries into material properties, according to a press release by the institution. They undertook a first-of-its-kind project where they constructed a machine-learning algorithm to deduce the properties of a class of engineered materials known as metamaterials and to determine how they interact with electromagnetic fields.

Swarms of Satellites Around the Sun Could Supply Us With Unlimited Power

This sci-fi megastructure has captivated big thinkers for decades. A leading expert in astrobiology tells us how to construct one.

The paper focused more on theory than engineering, and Dyson provided scant details on what such a megastructure might look like or how we might build one. He described his sphere only as a “habitable shell” encircling a star. But that was enough to captivate and inspire astrophysicists, scientists, and sci-fi writers. In some depictions, the Dyson Sphere, as it became known, appears as a massive ring encircling a star and reaching nearly to Earth. In others, the Sphere completely encases the sun, a hulking megastructure capturing every bit of that star’s energy. In addition to scientific works, Dyson Spheres have appeared in novels, movies, and TV shows—including Star Trek —as a home for advanced civilizations.

Dyson himself understood the challenges of constructing such a massive structure, and he was skeptical that it might ever happen. Nonetheless, his Sphere has stirred ambitious ideas about the future of our civilization, and it continues to be offered as a solution to some of humanity’s most dire dilemmas. Harnessing the total energy of our sun—or any star—would solve our immediate and long-term energy crisis, but when civilization gains access to the complete energy output of a star, meeting our terrestrial energy needs is just the beginning.

With so much energy available, we could direct high-powered laser pulses toward exoplanets that we think may contain life, immeasurably expanding our chances of communicating with distant civilizations. These Dyson-powered beams could travel farther into the universe than anything currently possible, penetrating the higher-density areas of space, such as dust clouds, which decay the signals we send now.

Teaching Physics to AI Can Allow It To Make New Discoveries All on Its Own

Incorporating established physics into neural network algorithms helps them to uncover new insights into material properties

According to researchers at Duke University, incorporating known physics into machine learning algorithms can help the enigmatic black boxes attain new levels of transparency and insight into the characteristics of materials.

Researchers used a sophisticated machine learning algorithm in one of the first efforts of its type to identify the characteristics of a class of engineered materials known as metamaterials and to predict how they interact with electromagnetic fields.