Recent studies using advanced supercomputing have focused on the dynamics within copper-based superconductors, aiming to develop materials that are efficient at higher temperatures and could improve electronic devices significantly.
Over the past 35 years, scientists have been studying a remarkable class of materials known as superconductors. When cooled to specific temperatures, these materials allow electricity to flow without any resistance.
A research team utilizing the Summit supercomputer has been delving into the behavior of these superconductors, particularly focusing on how negatively charged particles interact with the smallest units of light within the material. This interaction triggers sudden and dramatic changes in the material’s properties and holds the key to understanding how certain copper-based superconductors function.
The universe just got a whole lot bigger—or at least in the world of computer simulations, that is. In early November, researchers at the Department of Energy’s Argonne National Laboratory used the fastest supercomputer on the planet to run the largest astrophysical simulation of the universe ever conducted.
The achievement was made using the Frontier supercomputer at Oak Ridge National Laboratory. The calculations set a new benchmark for cosmological hydrodynamics simulations and provide a new foundation for simulating the physics of atomic matter and dark matter simultaneously. The simulation size corresponds to surveys undertaken by large telescope observatories, a feat that until now has not been possible at this scale.
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate the efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.
Hybrid nanostructures between biomolecules and inorganic nanomaterials constitute a largely unexplored field of research, with the potential for novel applications in bioimaging, biosensing, and nanomedicine. Developing such applications relies critically on understanding the dynamical properties of the nano–bio interface.
Modeling the properties of the nano-bio interface is demanding since the important processes such as electronic charge transfer, chemical reactions or restructuring of the biomolecule surface can take place in a wide range of length and time scales, and the atomistic simulations need to be run in the appropriate aqueous environment.
Even the biggest investors often make terrible trading decisions for their portfolios.
At an AI summit in Tokyo on Wednesday, Jensen Huang and Masayoshi Son joked about how SoftBank was once Nvidia’s largest shareholder before dumping its stake. The two billionaires are now joining forces on a Japanese supercomputer. SoftBank, which until early 2019 owned 4.9% of Nvidia, has secured a favorable spot in line for the chipmaker’s latest products.\r. ——–\r. More on Bloomberg Television and Markets\r. \r. Like this video? Subscribe and turn on notifications so you don’t miss any videos from Bloomberg Markets \& Finance: https://tinyurl.com/ysu5b8a9\r. Visit http://www.bloomberg.com for business news \& analysis, up-to-the-minute market data, features, profiles and more.\r. \r. Connect with Bloomberg Television on:\r. X: / bloombergtv \r. Facebook: / bloombergtelevision \r. Instagram: / bloombergtv \r. \r. Connect with Bloomberg Business on:\r. X: / business \r. Facebook: / bloombergbusiness \r. Instagram: / bloombergbusiness \r. TikTok: https://www.tiktok.com/@bloombergbusi…\r. Reddit: / bloomberg \r. LinkedIn: / bloomberg-news \r. \r. More from Bloomberg:\r. Bloomberg Radio: / bloombergradio \r. \r. Bloomberg Surveillance: / bsurveillance \r. Bloomberg Politics: / bpolitics \r. Bloomberg Originals: / bbgoriginals \r. \r. Watch more on YouTube:\r. Bloomberg Technology: / @bloombergtechnology \r. Bloomberg Originals: / @business \r. Bloomberg Quicktake: / @bloombergquicktake \r. Bloomberg Espanol: / @bloomberg_espanol \r. Bloomberg Podcasts: / @bloombergpodcasts
Researchers at New York University have devised a mathematical approach to predict the structures of crystals—a critical step in developing many medicines and electronic devices—in a matter of hours using only a laptop, a process that previously took a supercomputer weeks or months. Their novel framework is published in the journal Nature Communications.
As quantum computing grows, researchers are urgently preparing for its impact on cybersecurity by developing quantum-resistant cryptographic protocols.
This research, led by experts at the National Center for Supercomputing Applications, focuses on safeguarding supercomputing infrastructures against quantum threats.
Discovering Advanced Civilizations: Type 1 To 7 And Minus 0 To Minus 3: How Far Can We Go? he kardashev scale type From Type 1 To 7 And Theand Reverse Scale: How Far Can We Go? The Kardashev scale is a method used to determine a civilization’s technological advancement, which divides civilizations into three types, with type 1 being the simplest civilization of all. The civilization created by the human race is not yet advanced enough to be considered a type 1 civilization. How long until we reach that classification? Stay to find out. “Introduction“ Astrophysicist Nikolai Kardashev developed the Kardashev scale in 1964 to determine some characteristics that would facilitate the search for extraterrestrial life. After analyzing several conditions in the history of the human race, Kardashev realized that there is a need that grows as civilization does, energy. As the human race has expanded worldwide, so needs for energy. Suppose this is inherent in all species that become an intelligent race. In that case, a hypothetical race of aliens who come to forge a civilization as significant or more extensive than that of humans will eventually also have an energy deficit. To solve this energy need, an extraterrestrial race must develop technologies to meet the demand for energy needed to sustain all members of their civilization. Kardashev theorized that in this sense, there must be 3 types of civilizations: Type 1: A civilization that can harness all the energy its home planet gives them. Type 2: A civilization that can harness the energy of its entire solar system. Type 3: A civilization that can harness all the energy provided by the galaxy it is in.
“A type VII or K7 civilization would travel, transcend and ultimately oversee or ”be” the Omniverse which is the collection of every single universe, multiverse, megaverse, paraverse, 11d dimension, and 1st realm (reality). Everything is in the Omniverse, and there is only one Omniverse.” In other words, such a civilization would be as closest as godly as possible. However, the achievement of a type 7 civilization will only be the end of a very long process of technological advancement and connection with the cosmos. To get there, we would first need to go to all the other civilization types that make up the scale. Let’s see what they consist of. –
Scientists at Brookhaven National Laboratory have used supercomputer simulations to predict electric charge distributions in mesons, essential for understanding the subatomic structure of matter.
Upcoming experiments at the Electron-Ion Collider (EIC) will further validate these predictions, offering new insights into how quarks and gluons interact to form visible matter.
