Articles tagged with Supercomputing
Researchers at the University of Oldenburg and Fraunhofer IWES collaborate on a new project to develop more accurate wind flow simulations using artificial intelligence. The goal is to reduce computing times and enhance precision, ultimately accelerating innovation in wind turbine design.
ORNL researchers have won seven 2022 R&D 100 Awards for their advancements in materials science, machine learning, and energy storage. DuAlumin-3D, a high-strength aluminum alloy, and Gremlin, an AI system to identify weaknesses in machine learning models, are among the winning technologies.
Scientists at Giessen University used high-performance computing to understand the optical response of cluster glass, a material that generates bright, clear white light. The study verified the experiment through simulation and showed the link between the observed properties and molecular structure.
Researchers at Princeton University used artificial intelligence to simulate ice formation by individual atoms and molecules with quantum accuracy. This breakthrough enables tracking of hundreds of thousands of atoms over longer timespans than previous simulations.
A new study uses high-resolution regional model experiments to explore how lake surface temperatures may affect the climate of the Great Lakes region. Small differences in lake surface temperatures can have a significant impact on summer climate and fuel extreme weather events.
Researchers have developed a novel simulation method to calculate free energy using deep learning artificial intelligence, providing accurate models of molten salts' thermodynamic properties. The study could help examine corrosion in metal containers and improve the design of next-generation nuclear reactors.
A research team from HKU discovered clear evidence of a highly entangled quantum matter, known as a quantum spin liquid (QSL), through large-scale simulations on supercomputers. The findings suggest the existence of QSLs in nature and provide new insights into topological order and quantum entanglement.
Using the Stampede2 supercomputer, researchers have developed a deep learning model that predicts the properties of over 370,000 high-entropy alloy compositions. The study also applied association rule mining to discover design rules for high-entropy alloy development and proposed several compositions for experimentalists to synthesize.
A postdoctoral researcher uses computational tools to characterize light mesons, shedding light on the strong interaction and its role in binding quarks. The study aims to improve understanding of how matter stays together and bridge the gap between experimentalists and theorists.
A global team led by researchers from Curtin University used a supercomputer-powered technology to explore the geology of Mars without leaving home. They found that the ancient Martian meteorite NWA 7034 was ejected 5-10 million years ago from the north-east of the Terra Cimmeria - Sirenum province, in the southern hemisphere of Mars.
Jose Rizo-Rey, a professor of Biophysics at the University of Texas Southwestern Medical Center, has been exploring the process of synaptic vesicle fusion using the Frontera supercomputer. His research reveals that specialized proteins are
A team of geologists successfully forecasted a Sierra Negra volcano eruption in June 2018 using a supercomputer-powered model. The model predicted an imminent eruption five months before it occurred, highlighting the power of high-performance computing in volcanic forecasting.
Researchers at Oak Ridge National Laboratory have made significant advancements in recovering rare earth metals, developing safer batteries, and enhancing material properties through tailored molecules and advanced microscopy. These discoveries could lead to more efficient clean energy technologies and reduced carbon impacts.
Researchers have developed a new method to include cloud physics in global climate models, which could lead to more accurate predictions. The approach involves breaking down the modeling problem into smaller, independent simulations that can capture finer-scale turbulent eddies and realistic shallow cloud formation.
The Frontier supercomputer has achieved an unprecedented level of computing performance, breaking the exascale barrier with 1.1 exaflops of performance. This milestone enables scientists to tackle previously unsolvable problems in fields like energy and national security.
Researchers at TU Darmstadt have developed a scalable quantum network that enables secure key exchange and protection of sensitive information. The system uses entanglement-based time-bin coding to distribute photons to users, ensuring robust security against eavesdropping attacks.
A team of researchers led by Arizona State University's Antia Botana discovered a new high-temperature superconductor in nickelates, a material that could pave the way to room temperature superconductivity. The discovery was made possible by combining theoretical models with experimental results using supercomputers.
Researchers used a supercomputer to simulate water supply in an inter-utility agreement, finding that cooperation can benefit both water supply and financial needs. The study found that more flexible agreements allow utilities to adapt to changing conditions, reducing financial risk.
Researchers used TACC supercomputers to evaluate latest severe weather forecast tools, testing their performance in real-world settings. The goal was to improve snowfall forecasts and determine optimal model combinations to predict various winter weather aspects.
The QUSTom project aims to develop a new medical imaging modality using ultrasound and supercomputing, improving breast cancer diagnosis and potentially replacing mammograms. The technology will offer superior image quality and better tumor monitoring, while being completely safe for patients.
The Event Horizon Telescope (EHT) has captured the first image of Sagittarius A*, a black hole at the center of the Milky Way, revealing a ring-like structure and shadow. The observation confirms Einstein's theory of general relativity and provides new insights into giant black holes.
The Event Horizon Telescope captured the first image of Sagittarius A*, a hot and dense black hole surrounded by superheated gas, improving our understanding of black holes. The Frontera supercomputer supported this achievement through innovative data-driven astronomy.
A team of researchers has theorized how extreme conditions in stars produce carbon-12, a critical gateway to the birth of life. They used supercomputer simulations and statistical learning techniques to reveal alpha clustering and the Hoyle state, which leads to stable carbon-12.
Scientists from the University of Copenhagen have discovered a fundamental property of magnetism that could lead to the development of more powerful and efficient computers. The discovery highlights the potential for magnetism to replace traditional electron-based computing methods.
Research simulates San Francisco's worst storms in future climate conditions, finding significant increases in precipitation for events with atmospheric rivers and cyclones. The study aims to help the region plan its infrastructure with mitigation and sustainability in mind.
Scientists at Delft University of Technology have discovered one-way superconductivity using 2D quantum materials, enabling superconducting computing and reducing energy loss. This breakthrough could lead to faster electronics, greener IT systems, and significant energy savings.
Researchers have uncovered significant trends in hot Jupiters' atmospheres, including dramatic temperature swings and the presence of metallic elements. The study's findings provide valuable insights into the evolution of our solar system and offer a better understanding of exoplanet populations.
A new study by an international team of scientists links early human habitats to past climate shifts using a supercomputer model and fossil records. The research suggests that climate change played a central role in determining where different hominin groups lived and their remains were found.
Geophysicists and computer scientists collaborate to better understand the dynamics of earthquakes and tsunamis. The team has identified three major characteristics that play a significant role in determining an earthquake's potential to stoke a tsunami, including stress along the fault line, rock rigidity, and sediment layer strength.
Researchers have created the Thesan simulation, a cubic volume spanning 300 million light years across, to study cosmic reionization and galaxy formation. The simulation aligns with observations and sheds light on key processes, such as how far light can travel in the early universe.
Researchers at Linköping University have discovered that magnesium diboride becomes superconductive at higher temperatures when stretched. The study's findings offer a new approach to increasing critical temperatures without high pressure or complicated structures.
Scientists used supercomputers to model plate tectonics and reconstruct dynamics of Pacific plate motion. The study explains the mysterious 60-degree bend in the seamount chain by introducing a new factor: subduction zones in the Russian Far East.
Researchers developed a new reading method for SOT-RAMs that can nullify the readout disturbance, reducing it by at least 10 times. The method involves creating a bi-directional read path, cancelling out the disturbances produced by spin currents.
A study analyzing 9,000 years of Earth's history found that strong El Niño events intensified over time but with a small change due to global warming. Researchers used ancient coral data and powerful supercomputers to conduct their research, calling for further investigations into earlier climate periods.
Scientists have developed a new model to simulate the formation of subduction zones, which are crucial for understanding Earth's global dynamics. The model predicts the initiation of self-replicating subduction zones and their potential impact on earthquake risk.
Physicists have narrowed the axion mass range to 40-180 micro-eV using advanced simulations and supercomputer power. This new estimate suggests that the most common type of experiment to detect axions won't be able to detect them, regardless of tuning.
Researchers at University of Texas at Austin create first-ever biologically authentic computer model of HIV-1 virus liposome, shedding light on replication and infectivity. The study reveals key characteristics of the liposome's asymmetry and its role in shaping macroscopic properties.
Researchers are using satellite imagery and deep learning to analyze ice wedges in the Arctic, which can indicate changes in permafrost. The team has achieved accuracy rates of up to 90% in detecting low-centered and high-centered polygons, providing valuable information for understanding climate change.
Astrophysicists have calculated the original mass and size of a dwarf galaxy torn apart in a collision with the Milky Way billions of years ago. The reconstructed galaxy's stars now stream through the Milky Way, carrying information about its gravitational field.
Researchers at TU Darmstadt and Universitat Politècnica de València used HPC resources to develop a new symmetry-based turbulence theory, resolving the closure problem of turbulence. This approach allows for reduced computational grid size and direct access to mean values like air pressure and speed.
A University of Texas researcher used supercomputers to understand how CO₂ storage works at the level of micrometer-wide pores in rock, finding that wettability and injection rate are crucial factors. Her research aims to optimize CO₂ storage for a large-scale transition away from fossil fuels.
A team of researchers predicts a new hydrogen compound crystal structure that could achieve superconductivity at high temperatures. The discovery uses computer simulations to identify promising candidates, with one compound showing a transition temperature of 23.3 K at 200 GPa.
Researchers used big data imaging to visualize the entire subterranean formation and its effect on regional tectonics. The findings provide critical information for predicting near-future earthquake processes.
A Japanese research team successfully estimated the bending energy of disiloxane molecules with state-of-the-art quantum Monte Carlo method, overcoming previous simulation challenges. The method's self-healing property reduced basis-set dependence and bias, enabling accurate results without dependence on parameter choices.
A new simulation suggests that energy released near a black hole's event horizon during magnetic field line reconnection powers the intense flares. The process involves interactions between the magnetic field and material falling into the black hole, releasing hot plasma particles that radiate away as photons.
Japanese researchers use supercomputer simulations to determine stable ternary hydrides with room-temperature superconductivity. The study identifies potential candidates, including Y-Mg-H systems, and highlights the importance of hydrogen content in superconducting phenomena.
Researchers used a new method to study phonons and electrons in cuprates, resolving the basis for high-temperature superconductivity. The method, developed by Clemson University's Yao Wang, enabled accurate calculations of electron-phonon coupling and its impact on neighboring electrons.
Researchers developed a tool to determine the minimum quantum computer size needed to solve problems like breaking Bitcoin encryption and simulating molecules. The estimated requirement ranges from 30 million to 300 million physical qubits, suggesting Bitcoin is currently safe from a quantum attack.
Researchers at Texas Tech University use supercomputers to analyze the dynamics of vortices and turbulence, finding that reconnection can lead to the formation of new structures. The study aims to improve fuel efficiency for cars and develop energy-saving aircraft designs.
Researchers confirm a rare and massive black hole merger with an eccentric orbit, shedding light on the formation of supermassive black holes in dense star clusters. The study's findings have significant implications for our understanding of black hole dynamics and the evolution of galaxies.
A team of researchers, including NOAA and William & Mary, has developed the world's first three-dimensional operational storm surge model, called SCHISM. The model forecasts coastal flooding in complex coastal regions by incorporating fine-scale features like engineered structures and culverts into its forecasts.
A team of astronomers used a 3D simulation to study dust motion and growth in a protoplanetary disk around a young star. They found that large dust particles can be entrained by gas outflows and eventually fall back onto the outer regions of the disk, enabling planetesimal formation.
A research team at Osaka University successfully generated megatesla magnetic fields through three-dimensional particle simulations on laser-matter interaction. The strength of MT magnetic fields is significantly stronger than geomagnetism, enabling laboratory experiments that were previously thought impossible.
The study found that climate change impacts are apparent in nearly all aspects of climate variability, including temperature extremes, precipitation patterns, and ecosystem changes. These changes have important implications for sustainable resource management and future adaptation strategies.
Researchers have expanded the number of naturally occurring CRISPR-Cas systems, giving a wealth of potential new tools for large-scale gene editing. The discovery could lead to treating complex diseases associated with multiple genes.
Researchers at University of Helsinki have developed a new method to speed up calculations on quantum computers, reducing the number of measurements required and increasing efficiency. This breakthrough could lead to faster and more sustainable quantum computing.
Astronomers at UT Austin's McDonald Observatory have discovered a massively dense black hole at the center of dwarf satellite galaxy Leo I, revealing an unprecedented mass ratio between the galaxy and its central black hole. This finding shakes up our understanding of galaxy evolution and dark matter distribution.
Computational studies reveal new states of matter generated by pump-probe spectroscopy, with potential applications in superconductivity control. The work uses Frontera supercomputer to simulate quantum behavior with high precision, opening doors to novel phases and technologies.
The human brain contains trillions of contact points, requiring massive computational resources. Researchers outline the need for exascale computing power to tackle brain complexity.
UC San Diego researchers developed a computer model to understand how viruses travel through the air, shedding new light on airborne COVID-19 transmission. The model simulates aerosol behavior and helps explain why SARS-CoV-2 is highly transmissible through the air.