During an internship at Brookhaven National Laboratory, Juliette Stecenko is using modern supercomputers and quantum computing platforms to perform astronomy simulations that may help us better understand where we came from.
David Richardson’s job is literally to make sure the light stays on. But it’s not just any light – it’s a very special X-ray light that could play a crucial role in an eventual treatment for COVID-19. Richardson is an operator at Lawrence Berkeley National Laboratory’s synchrotron light source facility, the Advanced Light Source (ALS), and is one of a handful of workers providing essential services to scientists working on COVID-19-related research.
Using supercomputers, scientists have developed for the first time a way to screen drugs through their chemical structures for induced arrhythmias.
University of Texas at Austin researchers recently simulated the catalytic mechanism and atomic structure of nickel-doped graphene using Comet at the San Diego Supercomputer Center (SDSC) and Stampede2 at the Texas Advanced Computing Center. The simulations showed how the catalyst converts carbon dioxide into carbon monoxide, an important feedstock for chemical engineering.
Using ORNL’s now-decommissioned Titan supercomputer, a team of researchers estimated the combined consequences of many different extreme climate events at the county level, a unique approach that provided unprecedented regional and national climate projections that identified the areas most likely to face climate-related challenges.
For two decades, physicists have been trying to reconcile a gap between theoretical and experimental data on a particle called the muon. A new study, powered by Argonne's supercomputer Mira, sharpens one piece of the puzzle.
Two decades ago, an experiment at Brookhaven National Laboratory pinpointed a mysterious mismatch between established particle physics theory and actual lab measurements. A multi-institutional research team (including Brookhaven, Columbia University, and the universities of Connecticut, Nagoya and Regensburg, RIKEN) have used Argonne National Laboratory’s Mira supercomputer to help narrow down the possible explanations for the discrepancy, delivering a newly precise theoretical calculation that refines one piece of this very complex puzzle.
University of Alabama in Huntsville (UAH) professor of biological science Dr. Jerome Baudry is collaborating with Hewlett Packard Enterprise (HPE) to use HPE’s Cray Sentinel supercomputer to search for natural products that are effective against the COVID-19 virus.
Quantum machine learning, an emerging field that combines machine learning and quantum physics, is the focus of research to discover possible treatments for COVID-19, according to Penn State researchers led by Swaroop Ghosh, the Joseph R. and Janice M. Monkowski Career Development Assistant Professor of Electrical Engineering and Computer Science and Engineering. The researchers believe that this method could be faster and more economical than the current methods used for drug discovery.
For an experiment that will generate big data at unprecedented rates, physicists led design, development, mass production and delivery of an upgrade of novel particle detectors and state-of-the art electronics.
Scientists and engineers at Fermilab and Brookhaven are uniting with other organizations in the Open Science Grid to help fight COVID-19 by dedicating considerable computational power to researchers studying how they can help combat the virus-borne disease.
An ORNL team developed the XACC software framework to help researchers harness the potential power of quantum processing units, or QPUs. XACC offloads portions of quantum-classical computing workloads from the host CPU to an attached quantum accelerator, which calculates results and sends them back to the original system.
This is a continuing profile series on the directors of the Department of Energy (DOE) Office of Science User Facilities. Michael E. Papka is the director of the Argonne Leadership Computing Facility.
To assist in the COVID-19 research effort, Lawrence Livermore National Laboratory, Penguin Computing and AMD have reached an agreement to upgrade the Lab’s unclassified, Penguin Computing-built Corona high performance computing (HPC) cluster with an in-kind contribution of cutting-edge AMD Instinct™ accelerators, expected to nearly double the peak performance of the machine.
Profiled is Mitch Allmond of Oak Ridge National Laboratory, who conducts experiments and uses theoretical models to advance our understanding of the structure of atomic nuclei.
University of California San Diego researchers have ported the popular UniFrac microbiome tool to graphic processing units (GPUs) in a bid to increase the acceleration and accuracy of scientific discovery, including urgently needed COVID-19 research.
The INCITE program is now seeking proposals for high-impact, computationally intensive research projects that require the power and scale of DOE’s leadership-class supercomputers.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
Researchers at UC San Diego recently created a pharmacophore model and conducted data mining of the conformational database of FDA-approved drugs that identifies 64 compounds as potential inhibitors of the COVID-19 protease. Among the selected compounds are two HIV protease inhibitors, two hepatitis C protease inhibitors, and three drugs that have already shown positive results in testing with COVID-19.
A new data-driven mathematical model of the coronavirus pandemic predicts that the United States will peak in the number of “active” COVID-19 cases on or around April 20, marking a critical milestone on the demand for medical resources.
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