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17-Oct-2017
Exascale and the city

The Argonne-led Multiscale Coupled Urban Systems project will create a computational framework for urban developers and planners to evaluate integrated models of city systems and processes. With this framework, city planners can better examine complex systems, understand the relationships between them and predict how changes will affect them. It can ultimately help officials identify the best solutions to benefit urban communities.


Contact: Brian Grabowski
bgrabowski@anl.gov
630-252-1232
DOE/Argonne National Laboratory

9-Oct-2017
Leaning into the supercomputing learning curve

Scientists need to learn how to take advantage of exascale computing. This is the mission of the Argonne Training Program on Extreme-Scale Computing (ATPESC), which held its annual two-week training workshops over the summer.


Contact: Brian Grabowski
bgrabowski@anl.gov
630-252-1232
DOE/Argonne National Laboratory

6-Oct-2017
Connecting the dots

Nuclear physicists at the Department of Energy's Oak Ridge National Laboratory and their partners are using America's most powerful supercomputers to characterize the behavior of objects, from subatomic neutrons to neutron stars, that differ dramatically in size yet are closely connected by physics. Through the DOE Office of Science's Scientific Discovery through Advanced Computing program, which concurrently advances science and supercomputing to accelerate discovery, ORNL is participating in two five-year computational nuclear physics projects.


Contact: Dawn Levy
levyd@ornl.gov
865-576-6448
DOE/Oak Ridge National Laboratory

25-Sep-2017
Eight-lab simulator linkup aims to boost future electric grid stability

A team of researchers in the US and Europe are part of the Real-Time Super Lab concept to study how electricity can be rerouted across vast distances to address disruptions. The team envisions that large-scale blackouts can be prevented by moving electricity intercontinentally, the same way utilities currently do regionally but at a much larger scale. Such global interaction can reduce the cost of outages and make electrical power grids of the future more resilient.


Contact: Nicole Stricker
nicole.stricker@inl.gov
208-526-5955
DOE/Idaho National Laboratory

21-Sep-2017
From science to finance: SLAC summer interns forge new paths in STEM

Internships at SLAC National Accelerator Laboratory have a way of opening surprising doors to the future.


Contact: Andrew Gordon
agordon@slac.stanford.edu
650-926-2282
DOE/SLAC National Accelerator Laboratory

19-Sep-2017
A TOAST for next generation CMB experiments
Computational cosmologists at Berkeley Lab they recently achieved a critical milestone in preparation for upcoming CMB experiments: scaling their data simulation and reduction framework TOAST to run on all 658,784 Intel Knights Landing Xeon Phi processor cores on the NERSC's Cori. The team also implemented a new module to simulate the noise introduced when ground-based telescopes look at the CMB through the atmosphere.

Contact: Linda Vu
lvu@lbl.gov
510-495-2402
DOE/Lawrence Berkeley National Laboratory

23-Aug-2017
The Wonderland of ALICE: Q&A with Thomas M. Cormier

An experiment called ALICE at the Large Hadron Collider is dedicated to the study of heavy-ion collisions. ALICE stands for 'A Large Ion Collider Experiment.' Its aim is spotting the high-energy, elementary particles, like electrons and gamma rays, streaming from the quark-gluon plasma, to explore the physics of the early universe. Oak Ridge National Laboratory physicist Thomas M. Cormier provides an update on the experiment.


Contact: Dawn Levy
levyd@ornl.gov
865-576-6448
DOE/Oak Ridge National Laboratory

22-Aug-2017
Launching a supercomputer: How to set up some of the world's fastest computers

Setting up a supercomputer is far more complicated than just bringing it home from the electronics store. Staff members of the Department of Energy's supercomputing user facilities spend years on the process, from laying out requirements through troubleshooting. In the end, they run some of the most powerful computers in the world to help solve some of science's biggest problems.


Contact: Shannon Brescher Shea
shannon.shea@science.doe.gov
DOE/US Department of Energy

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.

Contact: Brian Grabowski
bgrabowski@anl.gov
630-252-1232
DOE/Argonne National Laboratory

11-Jul-2017
Scientists see molecules 'breathe' in remarkable detail

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.


Contact: Andrew Gordon
agordon@slac.stanford.edu
650-926-2282
DOE/SLAC National Accelerator Laboratory

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.

Contact: Stephanie Seay
seaysg@ornl.gov
865-576-9894
DOE/Oak Ridge National Laboratory

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.

Contact: Linda Vu
lvu@lbl.gov
510-495-2402
DOE/Lawrence Berkeley National Laboratory

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.

Contact: Andre Salles
media@fnal.gov
630-840-3351
DOE/Fermi National Accelerator Laboratory

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.

Contact: Linda Vu
lvu@lbl.gov
510-495-2402
DOE/Lawrence Berkeley National Laboratory

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.

Contact: Glenn Roberts Jr.
geroberts@lbl.gov
510-486-5582
DOE/Lawrence Livermore National Laboratory

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.

Contact: Kandice Carter
kcarter@jlab.org
757-269-7263
DOE/Thomas Jefferson National Accelerator Facility

27-Mar-2017
Valerie Taylor named Argonne's Mathematics and Computer Science division director
Computer scientist Valerie Taylor has been appointed as the next director of the Mathematics and Computer Science division at Argonne, effective July 3, 2017.

Contact: Brian Grabowski
bgrabowski@anl.gov
630-252-1232
DOE/Argonne National Laboratory

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.

Contact: Linda Vu
lvu@lbl.gov
510-495-2402
DOE/Lawrence Berkeley National Laboratory

9-Mar-2017
A new paradigm in parachute design

X-ray-based experiments at Berkeley Lab will simulate -- in microscopic detail -- spacecraft parachute fabric performance in the extreme conditions of other planets' atmospheres.


Contact: Glenn Roberts Jr.
geroberts@lbl.gov
510-486-5582
DOE/Lawrence Berkeley National Laboratory

8-Mar-2017
Attention Earthlings: Help Wanted in Finding a New Planet

Data research for a Berkeley Lab-led dark energy experiment benefits citizen science project that seeks the public's help in the hunt for a hypothesized Neptune-like Planet Nine.


Contact: Glenn Roberts Jr.
geroberts@lbl.gov
510-486-5582
DOE/Lawrence Berkeley National Laboratory

27-Jan-2017
Co-design centers to help make next-generation exascale computing a reality
As collaborators in four co-design centers created by the Department of Energy's Exascale Computing Project (ECP), researchers at Argonne are helping to overcome some of the complex challenges in developing exascale supercomputers.

Contact: Brian Grabowski
bgrabowski@anl.gov
630-252-1232
DOE/Argonne National Laboratory

25-Jan-2017
Connecting the bytes
ORNL computer scientist focuses on maximizing utility of Titan.

Contact: Ron Walli
wallira@ornl.gov
865-576-0226
DOE/Oak Ridge National Laboratory

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.

Contact: Karen McNulty Walsh
kmcnulty@bnl.gov
631-344-8350
DOE/Brookhaven National Laboratory

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.

Contact: Andrew Gordon
agordon@slac.stanford.edu
650-926-2282
DOE/SLAC National Accelerator Laboratory

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.

Contact: Mollie Rappe
mrappe@sandia.gov
505-844-8220
DOE/Sandia National Laboratories

Showing stories 1-25 out of 134 stories.
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