Showing stories 1-25 out of 126 stories. 1 | 2 | 3 | 4 | 5>>>
12-Jul-2017 Tackling disease in three dimensions: Supercomputers help decode RNA structure
In collaboration with staff from the Argonne Leadership Computing Facility, researchers at the National Cancer Institute have perfected a technique that accurately computes the 3-D structure of RNA sequences. This method, which relies on a computer program known as RS3D and supercomputer Mira gives researchers studying cancer and other diseases structural insights about associated RNAs that can be used to advance computer-assisted drug design and development.
In a milestone for studying a class of chemical reactions relevant to novel solar cells and memory storage devices, an international team of researchers working at the Department of Energy's SLAC National Accelerator Laboratory used an X-ray laser to watch 'molecular breathing' -- waves of subtle in-and-out motions of atoms -- in real time and unprecedented detail.
6-Jul-2017 ORNL researchers apply imaging, computational expertise to St. Jude research
In the quest to better understand and cure childhood diseases, scientists at St. Jude Children's Research Hospital accumulate enormous amounts of data from powerful video microscopes. To help St. Jude scientists mine that trove of data, researchers at Oak Ridge National Laboratory have created custom algorithms that can provide a deeper understanding of the images and quicken the pace of research.
5-Jul-2017 Will brain-inspired chips make a dent in science's big data problems?
Although neuromorphic computing is still in its infancy, Lawrence Berkeley National Laboratory (Berkeley Lab) researchers hope that these tiny, low-power, brain-inspired computing systems could one day help alleviate some of science's big data challenges. With funding from the Laboratory Directed Research and Development (LDRD) program, two groups of researchers are exploring how science might benefit from this new technology.
20-Jun-2017 Chicago Quantum Exchange to create technologically transformative ecosystem
The University of Chicago is collaborating with the US Department of Energy's Argonne National Laboratory and Fermi National Accelerator Laboratory to launch an intellectual hub for advancing academic, industrial and governmental efforts in the science and engineering of quantum information.
19-May-2017 A fresh math perspective opens new possibilities for computational chemistry
A new mathematical "shortcut" developed by Berkeley Lab researchers is speeding up molecular absorption calculations by a factor of five, so simulations that used to take 10 to 15 hours to compute can now be done in approximately 2.5 hours. These algorithms will be incorporated in an upcoming release of the widely used NWChem computational chemistry software suite later this year.
17-Apr-2017 How X-rays pushed topological matter research over the top
Pioneering X-ray experiments at Berkeley Lab's Advanced Light Source (ALS) helped bring to life decades-old theories about exotic topological states of matter, and the ALS continues to play an important role in this flourishing field of research.
30-Mar-2017 Physicists move closer to listening in on sub-atomic conversation
Much like two friendly neighbors getting together to chat over a cup of coffee, the minuscule particles in our sub-atomic world also come together to engage in a kind of conversation. Now, nuclear scientists are developing tools to allow them to listen in on the particles' gab fests and learn more about how they stick together to build our visible universe. The first complex calculations of a particle called the sigma have been carried out and published in Physical Review Letters.
21-Mar-2017 Berkeley Lab researchers make NWChem's Planewave 'purr' on Intel's KNL architectures
Berkeley Lab researchers have successfully added thread-level parallelism on top of MPI-level parallelism in the planewave density functional theory method within the popular software suite NWChem. An important step to ensuring that computational chemists are prepared to compute efficiently on next-generation exascale machines.
11-Jan-2017 Brookhaven National Laboratory's top-10 science successes of 2016
From advances in accelerators and experiments exploring the building blocks of matter and making medical isotopes to new revelations about superconductors, nanomaterials, and biofuels, 2016 was a year of accomplishment at the US Department of Energy's Brookhaven National Laboratory. Here are our Top-10 highlights.
3-Nov-2016 SLAC, Berkeley Lab researchers prepare for scientific computing on the exascale
Researchers at the Department of Energy's SLAC National Accelerator Laboratory are playing key roles in two recently funded computing projects with the goal of developing cutting-edge scientific applications for future exascale supercomputers that can perform at least a billion billion computing operations per second -- 50 to 100 times more than the most powerful supercomputers in the world today.
2-Nov-2016 Sandia to evaluate if computational neuroscientists are on track
The Intelligence Advanced Research Projects Activity (IARPA) launched the Machine Intelligence from Cortical Networks (MICrONS) project earlier this year. Sandia National Laboratories is refereeing the work of three university-led teams to map, understand and mathematically re-create visual processing in the brain to close the computer-human gap in object recognition.
27-Oct-2016 PPPL physicists win funding to lead a DOE exascale computing project
A proposal from PPPL scientists has been chosen as part of a national initiative to develop the next generation of supercomputers. Known as the Exascale Computing Project, the initiative will include a focus on exascale-related software, applications, and workforce training.
5-Aug-2016 Researchers combine simulation, experiment for nanoscale 3-D printing
A research team led by Oak Ridge National Laboratory has created a high-power simulation and design process to print free-standing 3-D structures on the nanoscale using focused electron beam induced deposition. The simulation-guided nanomanufacturing method allows researchers to design and construct complex high-fidelity nanostructures with less guesswork.
Alex Aiken, director of the new Computer Science Division at the Department of Energy's SLAC National Accelerator Laboratory, has been thinking a great deal about the coming challenges of exascale computing, defined as a billion billion calculations per second. That's a thousand times faster than any computer today. Reaching this milestone is such a big challenge that it's expected to take until the mid-2020s and require entirely new approaches to programming, data management and analysis, and numerous other aspects of computing.
27-May-2016 ORNL researchers use strain to engineer first high-performance, two-way oxide catalyst
Catalysts make chemical reactions more likely to occur. In most cases, a catalyst that's good at driving chemical reactions in one direction is bad at driving reactions in the opposite direction. However, a research team led by the Department of Energy's Oak Ridge National Laboratory has created the first high-performance, two-way oxide catalyst and filed a patent application for the invention. The accomplishment is reported in the Journal of the American Chemical Society.
19-May-2016 Berkeley Lab's OpenMSI licensed to ImaBiotech
Two years ago, Lawrence Berkeley National Laboratory (Berkeley Lab) researchers developed OpenMSI--the most advanced computational tool for analyzing and visualizing mass spectrometry imaging (MSI) data. Last year, this web-available tool was selected as one of the 100 most technologically significant new products of the year by R&D Magazine. Now, OpenMSI has been licensed to support ImaBiotech's Multimaging™ technology in the field of pharmaceutical and cosmetic research and development.
The Department of Energy's Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time.