Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
Teams at the Pittsburgh Supercomputing Center, University of Pittsburgh and the Carnegie Mellon University School of Computer Science will lead collaborations and provide computing, software and data infrastructure as part of an international network of centers working to create a kind of cell-level Google Maps for the human body.
Water resources will fluctuate increasingly and become more and more difficult to predict in snow-dominated regions across the Northern Hemisphere by later this century, according to a comprehensive new climate change study led by the National Center for Atmospheric Research (NCAR) and co-authored by a Cornell University climate scientist.
Using simulations run at the National Energy Research Scientific Computing Center, a team of researchers at Lawrence Berkeley National Laboratory has found the origin of cortical surface electrical signals in the brain and discovered why the signals originate where they do.
Today, the U.S. Department of Energy (DOE) announced $18.3 million in funding for eight research projects to advance the development of sophisticated modeling and simulation software for the chemical sciences.
Today, the U.S. Department of Energy (DOE) announced that 18 million node-hours have been awarded to 45 scientific projects under the Advanced Scientific Computing Research (ASCR) Leadership Computing Challenge (ALCC) program. The projects, with applications ranging from advanced energy systems to climate change to cancer research, will use DOE supercomputers to uncover unique insights about scientific problems that would otherwise be impossible to solve using experimental approaches.
The University at Albany today began a new era of teaching and research with the launch of Albany AI, a $200 million public-private supercomputing initiative based out of its soon-to-be-renovated College of Engineering and Applied Sciences building.
In the fall of 2017, geology professor Patricia Gregg and her team had just set up a new volcanic forecasting modeling program on the Blue Waters and iForge supercomputers.
The Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory earned the top ranking today as the world’s fastest on the 59th TOP500 list, with 1.1 exaflops of performance. The system is the first to achieve an unprecedented level of computing performance known as exascale, a threshold of a quintillion calculations per second.
Lawrence Livermore National Laboratory and Amazon Web Services have signed a memorandum of understanding (MOU) to define the role of leadership-class high performance computing (HPC) in a future where cloud HPC is ubiquitous.
After running simulations on the world's most powerful supercomputer, an international team of researchers has developed a theory for the nuclear structure and origin of carbon-12, the stuff of life. The theory favors the production of carbon-12 in the cosmos.
Imagine a computer that can think as fast as the human brain while using very little energy. That's the goal of scientists seeking to discover or develop "neuromorphic" materials that can send and process signals as easily as the brain's neurons and synapses. In a paper just published scientists describe surprising new details about vanadium dioxide, one of the most promising neuromorphic materials.
Oak Ridge National Laboratory researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
The U.S. Department of Energy’s (DOE) National Nuclear Security Administration (NNSA) today announced the award of an $18 million contract to Cornelis Networks for collaborative research and development in next-generation networking for supercomputing systems at the NNSA laboratories.
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), headquartered at the Rutgers Institute for Quantitative Biomedicine, announces the expansion of its data storage capacity through the Amazon Web Services (AWS) Open Data Sponsorship Program. The AWS program is providing the RCSB PDB with more than 100 terabytes of storage for no-cost delivery of Protein Data Bank information to millions of scientists, educators, and students around the world working in fundamental biology, biomedicine, bioenergy, and bioengineering/biotechnology.
The University at Buffalo will lead a $10 million project to develop software that academia, industry and government agencies use to manage high-performance computing infrastructure, the U.S. National Science Foundation (NSF) announced on Friday.
The NSF has awarded $7.5 million over five years to the RAMPS project, a next-generation system for awarding computing time in the NSF’s network of supercomputers. RAMPS is led by the Pittsburgh Supercomputing Center and involves partner institutions in Colorado and Illinois.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time. Oak Ridge National Laboratory, the largest Department of Energy science and energy laboratory in the country, is deeply invested in the big science capabilities and expertise needed to address the climate challenge on multiple fronts.
A Lawrence Berkeley National Laboratory team leveraged an IBM Q quantum computer through the Oak Ridge Leadership Computing Facility to capture part of a calculation of two protons colliding. The calculation can show the probability that an outgoing particle will emit additional particles.
The Neocortex high-performance AI computer at the Pittsburgh Supercomputing Center has been upgraded with two new Cerebras CS-2 systems. The WSE-2 technology doubles the system’s cores and on-chip memory and enables faster training, larger models and larger input data.
Science, education and economic development leaders across New Mexico have formed a coalition to bring future quantum computing jobs to the state. Sandia National Laboratories, The University of New Mexico and Los Alamos National Laboratory announced the new coalition today.
By shortening simulation times and reducing energy consumption, techniques developed by North Carolina State professor Xipeng Shen are accelerating scientific research using supercomputers.
Unconventional superconductors carry electrical current with zero resistance in ways that defy our previous understanding of physics. A recent study led by Berkeley Lab could help researchers advance future applications in next-gen energy storage, supercomputing, and magnetic levitating trains.
Data is a vital part of solving complicated scientific questions, in endeavors ranging from genomics, to climatology, to the analysis of nuclear reactions.
A description of the Laboratory's process to extend Moore's law that has doubled the number of transistors that can be packed on a microchip roughly every two years and develop new ways to produce ever-more capable, efficient, and cost-effective chips.
New computer models and simulations from Los Alamos National Laboratory are showing researchers how the virus that causes COVID-19 manages to use its spike protein to fuse with and infect human cells. To be presented at the March meeting of the American Physical Society, the atomistic-level imagery is highly consistent with cryo-electron microscopy data, despite the severe challenges of imaging at such high resolution.
Scientists using the Summit supercomputer to study superconductors found that negative particles in the superconductors interact strongly with phonons in the materials. This interaction leads to sudden changes in the materials’ behavior, explaining how certain copper-based superconductors work. The findings may lead to a new class of superconducting materials that work at relatively warm temperatures for efficient future electronic devices.
Globus received the Best Integrated Software Experience award at the annual Data Mover Challenge, a competition which brings together experts from industry and academia to challenge international teams to come up with the most innovative solutions for transferring huge amounts of data across servers around the world that are connected by 100Gbps international research and education networks.
Physicists searching — unsuccessfully — for today's most favored candidate for dark matter, the axion, have been looking in the wrong place, according to a new supercomputer simulation of how axions were produced shortly after the Big Bang 13.6 billion years ago.
A team at Argonne National Laboratory used Oak Ridge National Laboratory's Summit, the nation's fastest supercomputer, to study how aerosol viral particles are distributed in a ventilated classroom.
Unlike the classic Jules Verne science fiction novel Journey to the Center of the Earth or movie The Core, humans cannot venture into the Earth’s interior beyond a few kilometres of its surface. But thanks to latest advances in computer modelling, an international team of researchers led by the University of Bristol has shed new light on the properties and behaviour of magma found several hundreds of kilometres deep within the Earth.
Quantum researchers at the University of Bristol have dramatically reduced the time to simulate an optical quantum computer, with a speedup of around one billion over previous approaches.
A team led at Arizona State University used the nation’s fastest supercomputer, Summit at Oak Ridge National Laboratory, to model millions of structures and gain new insights into how proteins transition to different shapes.
You may not be able to teach an old dog new tricks, but Cornell researchers have found a way to train physical systems, ranging from computer speakers and lasers to simple electronic circuits, to perform machine-learning computations, such as identifying handwritten numbers and spoken vowel sounds.
A study published in the Journal of Chemical Information and Modeling reports the discovery of a molecule with significant potential to disable the COVID-19 virus. The molecule was identified using high-throughput virtual screening—a search through a library of 6.5 million in-stock compounds that could quickly be scaled up for drug production using some of the nation’s most powerful supercomputers and other research tools.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from the Department of Energy’s Oak Ridge National Laboratory developed a novel technique.
Peter Lindstrom is the project leader at Lawrence Livermore National Laboratory’s Center for Applied Scientific Computing, where he develops efficient ways to avoid bottlenecks while moving data.
Researchers are exploring chromium defects in silicon carbide as potential spin qubits. These spin qubits would be compatible with telecommunications optical fibers, making them potentially useful for optical fiber-based quantum networks. Researchers recently investigated new ways to make high-quality chromium defects in silicon carbide.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
The MiikeMineStamps dataset of stamps provides a unique window into the workings of a large Japanese corporation, opening unprecedented possibilities for researchers in the humanities and social sciences. But some of the stamps in this archive only appear in a small number of instances. This makes for a “long tail” distribution that poses particular challenges for AI learning, including fields in which AI has experienced serious failures. A collaboration between scientists at the University of Pittsburgh (Pitt), PSC, DeepMap Inc. of California and Carnegie Mellon University (CMU) took up this challenge, using PSC’s Bridges and Bridges-2 systems to build a new machine learning (ML) based tool for analyzing “long tail” distributions.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant challenge. An international team has gained additional insights into a material compound called vanadium oxide, or VO2, that might be the missing ingredient needed to complete a reliable neuromorphic recipe.
A new kind of benchmark test, designed at Sandia National Laboratories, predicts how likely a quantum processor will run a specific program without errors, revealing the technology's true potential and limitations.