Articles tagged with Supercomputing
Using supercomputers and machine learning, researchers created simulations of millions of computer-generated universes to test astrophysical predictions. The study found that supermassive black holes grow in the same way as their host galaxies, revealing a long-elusive relationship.
The Celeritas project aims to address the data tsunami from the upgraded LHC, enabling faster particle collisions and more accurate simulations. With graphics processing units and exascale computing, Celeritas will increase data throughput and validate theories of particle physics.
USTC scientists made a significant breakthrough in ab initio computing simulation of complex metallic heterostructures with 2.5 million atoms. This achievement is expected to be applied in the construction of 2D-materials-based transistors.
The US Department of Energy has awarded $35 million in grants to three joint projects between Nuclear Physics and Advanced Scientific Computing Research programs. These projects aim to optimize software tools for calculations of quantum chromodynamics, which describes the structure of protons and neutrons, using powerful supercomputers...
Researchers discovered a novel interaction between the SARS-CoV-2 Spike protein and human Estrogen Receptor Alpha, which may contribute to severe coagulopathy in COVID-19 patients. The study suggests that modulating ER signaling could mitigate rare vaccine side effects.
Scientists at Argonne National Laboratory have discovered tiny magnetic vortices called skyrmions that could store data in computers, promising 100-1000 times better energy efficiency than current memory. The team used AI and a high-power electron microscope to visualize and study the behavior of these micro-scale magnetic structures.
A team of researchers from Japan Advanced Institute of Science and Technology has discovered thermodynamically stable phases in Y–Ce–H and La–Ce–H systems that exhibit high-temperature superconductivity. Calculations predicted Tc values of up to 173 K, paving the way for the development of more energy-efficient and sustainable societies.
The discussion focused on the impact of ocean acidification, compound events, sea-level rise, and climate injustice, with experts highlighting the need for youth involvement in decision-making. The panel agreed on the urgent need for climate action ahead of COP27, emphasizing cooperation between nations to mitigate the crisis.
Researchers trained a mouse brain model to solve visual tasks, achieving superior robustness and performance compared to traditional neural networks. The model's unique coding properties enable it to cope with errors and unexpected input, making it a promising tool for advances in neuromorphic computing.
Researchers at Paderborn University developed a new algorithm for quantum computing in chemistry, reducing qubit count and increasing parallelisation. This allows for the simulation of larger molecules and improved accuracy despite 'quantum noise'.
A new mechanism has been discovered for the passive transport of biomolecules through the nuclear pore complex, with implications for human diseases. The research team used supercomputing simulations on Frontera and Stampede2 systems to study the kinetics of the nuclear pore transport.
A breakthrough computer model from Chalmers University of Technology reveals the properties of an atomic nucleus, providing insights into the strong force that governs neutron star behavior. The model predicts a surprisingly thin neutron skin, which could lead to increased understanding of heavy element creation in neutron stars.
The Earth System Grid Federation is upgrading its climate projection data system to improve access and curation, with the goal of enabling scientists to make the best guess about the future trajectory of our climate. The new system will provide faster download speeds and enable previously infeasible data analyses.
Researchers at Ohio State University have developed a new machine learning method called next-generation reservoir computing that can learn spatiotemporal chaotic systems in a fraction of the time. The algorithm is more accurate and uses less training data, making it easier to predict complex physical processes like Earth's weather.
A new simulation suggests that gravitational interactions, not over-eating, are responsible for the Milky Way Galaxy's peanut-shaped and nuclear bulges. The study reveals a clear break in star ages between the two types of bulges, indicating when the bar formed.
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.
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 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.
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.
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.
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.
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.
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 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.
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.