Feature Channels: Supercomputing

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Dr. Hyang-Tag Lim's research team at the KIST has implemented a quantum computing algorithm that can estimate interatomic bond distances and ground state energies with chemical accuracy using fewer resources than conventional methods, and has succeeded in performing accurate calculations without the need for additional quantum error mitigation techniques.

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Globus has been recognized in the 21st edition of the HPCwire Readers’ Choice Awards, presented at the 2024 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24), in Atlanta, Georgia.

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The HPE Cray EX supercomputing system reported new highs for problem-solving speeds this week. The score earned Frontier the No. 2 spot on the November 2024 TOP500 list.

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Parkinson’s research, a genetic commonality among very different species that learn how to vocalize, an AI-based water treatment training simulator, and a national AI collaboration underlie four annual HPCwire Awards won by PSC this year.

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Lawrence Livermore National Laboratory (LLNL), in collaboration with the National Nuclear Security Administration (NNSA), Hewlett Packard Enterprise and AMD, have officially unveiled El Capitan as the world's most powerful supercomputer and first exascale system dedicated to national security.

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Electronics and Telecommunications Research Institute (ETRI) announced that they have developed a system capable of controlling eight photons using a photonic integrated-circuit chip. With this system, they can explore various quantum phenomena, such as multipartite entanglement resulting from the interaction of the photons.

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Argonne National Laboratory researchers to showcase leading-edge work in high performance computing, AI and more at SC24 international conference.

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To understand the workings of DNA in relation to disease, scientists at Los Alamos National Laboratory have developed the first multimodal deep learning model of its kind, EPBDxDNABERT-2, capable of ascertaining the precise relationship between transcription factors, proteins that regulate gene activities, leveraging an aspect of DNA called DNA breathing, in which the double-helix structure opens and closes spontaneously. The model has the potential to aid in the design of drugs used to treat diseases that originate in gene activity.

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Nuclear physics theorists have demonstrated that complex calculations run on supercomputers can accurately predict the distribution of electric charges in mesons, particles made of a quark and an antiquark. The calculations also help validate a method that will be used to make predictions for and analyze data from high-energy experiments at the future Electron-Ion Collider (EIC) at Brookhaven National Laboratory.

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An Argonne-led team developed an AI-driven multimodal framework that incorporates experimental data and text-based narratives to accelerate the design of new proteins. A finalist for the Gordon Bell Prize, the effort used five top supercomputers, including Argonne’s Aurora exascale system.

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Engineering professor Mingzhe Chen is working on several projects that could improve on our existing wireless networks. For this work, he was recently named as the Knight Foundation chair in data science and artificial intelligence.

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A multi-institutional team of researchers led by the King Abdullah University of Science and Technology, or KAUST, Saudi Arabia, has been nominated for the Association for Computing Machinery’s 2024 Gordon Bell Prize for Climate Modelling.

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Science isn’t scary, but it can be spooky! For Halloween, we’re highlighting some “spooky” research that the Department of Energy’s (DOE) Office of Science supports. In fact, the physics community celebrates Dark Matter Day on Halloween! We hope that this roundup puts you in the mood to dig a little deeper into the wonders that surround you.

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Large language models are changing the way that people create and communicate, but they can also change the way we do science. Researchers from Argonne National Laboratory hope to demystify these tools and share how they’re shaping future research.

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Researchers from the University of Washington, Seattle, or UW, and Los Alamos National Laboratory used the Summit supercomputer at the Department of Energy’s Oak Ridge National Laboratory to answer one of fission’s biggest questions: What exactly happens during the nucleus’s “neck rupture” as it splits in two?

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A difficult-to-describe nanoscale object called the magnetic skyrmion might one day yield new microelectronic devices that can do much more—for example, massive data storage—all while consuming much less power. But researchers need a more detailed understanding of skyrmions if they are ever to be used reliably in computational devices, including quantum computers. Berkeley Lab scientists led a project to make 3D X-ray images of skyrmions that can characterize or measure the orientations of spins inside the whole object.

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In an Argonne-led project, researchers used X-ray microscopy to discover a ferroelectric material that tailors its response to controlled ultrafast external stimuli, such as light pulses. The material might be applicable to energy-efficient microelectronics.

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When it comes to mating, two things matter for Heliconius butterflies: the look and the smell of their potential partner. The black and orange butterflies have incredibly small brains, yet they must process both sensory inputs at the same time — which is more than current artificial intelligence (AI) technologies can achieve without significant energy consumption. To make AI as smart as the butterflies, a team of Penn State researchers has created a multi-sensory AI platform that is both more advanced and uses less energy than other AI technologies.

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Researchers at the Facility for Rare Isotope Beams reached a new milestone in isotope studies, accelerating a high-power beam of uranium ions to a record 10.4 kilowatts of continuous beam power to a target. The beam enabled scientists to produce and identify three new isotopes, gallium-88, arsenic-93, and selenium-96.

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New experimental results suggest that sprinkling boron into a tokamak could shield the wall of the fusion vessel and prevent atoms from the wall from getting into the plasma. A new computer modeling framework shows the boron powder may only need to be sprinkled from one location. The experimental results and computer modeling framework will be presented this week at the 66th Annual Meeting of the American Physical Society Division of Plasma Physics in Atlanta.