Einstein’s theories support the science behind this time-travel loophole. But could it actually work?
Category: physics – Page 20
An international team of researchers, led by physicists from the University of Vienna, has achieved a breakthrough in data processing by employing an “inverse-design” approach. This method allows algorithms to configure a system based on desired functions, bypassing manual design and complex simulations. The result is a smart “universal” device that uses spin waves (“magnons”) to perform multiple data processing tasks with exceptional energy efficiency.
Published in Nature Electronics, this innovation marks a transformative advance in unconventional computing, with significant potential for next-generation telecommunications, computing, and neuromorphic systems.
Modern electronics face critical challenges, including high energy consumption and increasing design complexity. In this context, magnonics—the use of magnons, or quantized spin waves in magnetic materials —offers a promising alternative. Magnons enable efficient data transport and processing with minimal energy loss.
So-called Rayleigh–Bloch waves can release an enormous amount of energy that can damage technical systems under certain circumstances. They only exist below a precisely defined cut-off frequency; above this, they disappear abruptly. Strangely enough, however, there are isolated high frequencies at which they can also be detected.
Mathematicians from the Universities of Augsburg and Adelaide have recently proposed an explanation for this puzzling phenomenon. Together with researchers from the University of Exeter, they have now been able to prove experimentally that their theory is indeed correct. The study has just been published in the journal Communications Physics.
Suppose you had a gigantic barbecue grill that could easily accommodate several hundreds of sausages. Then, you could not only use it to invite your children’s entire school to a barbecue. The numerous stainless steel struts aligned parallel to each other are also ideal for generating Rayleigh–Bloch waves.
For the first time, a team of researchers at Lawrence Livermore National Laboratory (LLNL) quantified and rigorously studied the effect of metal strength on accurately modeling coupled metal/high explosive (HE) experiments, shedding light on an elusive variable in an important model for national security and defense applications.
The team used a Bayesian approach to quantify metal strength uncertainty with tantalum and two common explosive materials and integrated it into a coupled metal/HE model. Their findings could lead to more accurate models for equation-of-state-studies, which assess the state of matter a material exists in under different conditions. Their paper —featured as an editor’s pick in the Journal of Applied Physics —also suggested that metal strength uncertainty may have an insignificant effect on result.
“There has been a long-standing field lore that HE model calibrations are sensitive to the metal strength,” said Matt Nelms, the paper’s first author and a group leader in LLNL’s Computational Engineering Division (CED). “By using a rigorous Bayesian approach, we found that this is not the case, at least when using tantalum.”
What would you think if I told you that traveling faster than light is no longer pure science fiction? Scientists have found a way to do it 10 times faster.
Science surprises us once again! Scientists have reached a revolutionary milestone by discovering a new theoretical way to travel faster than light. This breakthrough, based on innovative concepts in physics, opens the door to incredible possibilities in the realm of space exploration and the conquest of the cosmos. In this article, we will explore in detail this exciting development and the implications it could have for the future of humanity.
Researchers have created a unique wristwatch that contains multiple modules, including a sensor array, a microfluidic chip, signal processing, and a data display system to monitor chemicals in human sweat. Their study is published in the journal ACS Nano.
“It can continuously and accurately monitor the levels of potassium (K+), sodium (Na+), and calcium (Ca2+) ions, offering both real-time and long-term tracking capabilities,” said senior researcher Prof. Huang Xingjiu from the Institute of Solid State Physics at the Hefei Institutes of Physical Sciences of Chinese Academy of Sciences.
Tremendous progress has been made in sweat sensors based on electrochemical methods, making it easier to track body changes. The stability of the sensor chip is crucial for its application effect and service life, which is the key to ensuring the long-term reliable operation of the sensor.
Carlo Rovelli’s theories challenge time as fundamental, proposing it’s an illusion arising from entropy and causal events, reshaping our understanding of the universe.
When I said “Deep Mind”, “Deep Seek” was intended of course.
The recent development of AI presents challenges, but also great opportunities. In this clip I discuss G and other constants with Deep Seek R1.
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My books: www.amazon.com/Alexander-Unzicker/e/B00DQCRYYY/
The Theory of Relativity, published in 1905 by Albert Einstein, postulated the existence of gravitational waves—oscillations of the space-time fabric—and more than a century later, we have irrefutable evidence of it. Now, a new study has managed to find clear indications of relativistic procession in the orbits of two colliding black holes.
Dive into the fascinating world of Boltzmann Brains in our latest explainer video, “Boltzmann Brains: Consciousness in the Cosmos Explained!” 🌌 We unravel t…