To better understand the biological processes that govern lipid raft formation—processes with broad implications for research ranging from how cells regulate proteins to how viruses invade healthy human cells—ORNL researchers are using two world-class research facilities to study the presence and formation of these nanoscale lipid patches.
Seagate Technology (NASDAQ: STX) and Los Alamos National Laboratory (Los Alamos) are researching a new storage tier to enable massive data archiving for supercomputing. The joint effort is aimed at determining innovative new ways to keep massive amounts of stored data available for rapid access, while also minimizing power consumption and improving the quality of data-driven research.
Speeding Recovery From Cyber-Induced Blackouts, Teaching with 'Big Data', Security Breach in 3-D Printing Process, and more in the Newswise Cybersecurity News Source.
Cutting-edge simulations run at Lawrence Berkeley National Laboratory's National Energy Research Scientific Computing Center have yielded exciting answers to long-standing questions about plasma heat loss that have previously stymied efforts to predict the performance of fusion reactors.
Simulation results could lead to lower production costs for biofuels; New app provides fuel economy information and more to buyers on the go; ORNL supercomputer, SNS offer insight into disease; Advanced heat pump provides hot savings
Imagine you wanted to know how much energy it took to bike up a mountain, but couldn’t finish the ride to the peak yourself. So, to get the total energy required, you and a team of friends strap energy meters to your bikes and ride the route in a relay, then add up your individual energy inputs. Researchers at Lawrence Livermore National Laboratory, are currently using a similar approach, powered by LLNL’s world-class supercomputers, to simulate the energy requirements for candidate drug molecules to permeate cell membranes – shaving weeks of compound testing by determining in advance how readily they’ll enter cells to perform their activity.
The substance that provides energy to all the cells in our bodies, Adenosine triphosphate (ATP), may also be able to power the next generation of supercomputers.
Four faculty members at the University of Washington been awarded early-career fellowships from the Alfred P. Sloan Foundation.
To better understand exactly how lignin persists, researchers at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL) created one of the largest biomolecular simulations to date—a 23.7-million atom system representing pretreated biomass (cellulose and lignin) in the presence of enzymes. The size of the simulation required Titan, the flagship supercomputer at the Oak Ridge Leadership Computing Facility (OLCF), a DOE Office of Science User Facility, to track and analyze the interaction of millions of atoms.
Recently, a team led by Jeremy Smith, a Governor’s Chair at the University of Tennessee (UT) and the director of the UT–ORNL Center for Molecular Biophysics (CMB), used the Oak Ridge Leadership Computing Facility’s (OLCF’s) Titan supercomputer at ORNL to gain insight into the effectiveness of an experimental pretreatment developed by BESC researchers in California called Cosolvent Enhanced Lignocellulose Fractionation, or CELF. The OLCF is a DOE Office of Science User Facility located at ORNL.
Scientists at the University of Washington are using Mira to virtually design unique, artificial peptides, or short proteins. Peptides have the best properties of two different classes of medical drugs today and could enable future, peptide-based medicines with few side effects. As researchers begin to develop new peptides, they are optimizing their in-house software to test thousands of potential peptide structure designs in tandem, requiring a state-of-the-art supercomputer.
Plasmons, quasiparticles arising from the collective motion of electrons on the surface of a metal, can strongly modify the behavior of nearby light, and could be instrumental in building some of the key components of a quantum circuit. But far more must be learned about their effects to develop them as a material.
Researchers at the German research laboratory Helmholtz-Zentrum Dresden Rossendorf are using Titan to understand and control new methods for particle acceleration that could have big impacts on laser-driven tumor removal.
Feature describes modeling of laser-produced plasmas that closely approximate the plasma in astrophysical objects.
Building on its capabilities in data-intensive science, the U.S. Department of Energy's Brookhaven National Laboratory has expanded its Computational Science Initiative.
NCAR has selected its next supercomputer for advancing atmospheric and Earth science. The new 5.34-petaflop system will help scientists nationwide lay the groundwork for improved predictions of a range of phenomena, from thunderstorm outbreaks to regional climate changes to the timing of the 11-year solar cycle.
Using the Titan supercomputer, researchers at insurance company FM Global are trying to better understand fire growth and suppression for commercial and industrial storage warehouses.
From creating the tiniest drops of primordial particle soup to devising new ways to improve batteries, catalysts, superconductors, and more, scientists at the U.S. Department of Energy's Brookhaven National Laboratory pushed the boundaries of discovery in 2015.
Japanese supercomputer model overthrows existing theory of auroral breakup.
Supercomputing simulations could change how researchers understand the internal motions of proteins that play functional, structural and regulatory roles in all living organisms. The team’s results are featured in Nature Physics.
A team of physicists led by Stephen Jardin of the U.S. Department of Energy's Princeton Plasma Physics Laboratory (PPPL) has discovered a mechanism that prevents the electrical current flowing through fusion plasma from repeatedly peaking and crashing. This behavior is known as a "sawtooth cycle" and can cause instabilities within the plasma's core.
To uncover what plants honey bees rely on, researchers from The Ohio State University are using the latest DNA sequencing technology and a supercomputer. They spent months collecting pollen from beehives and have developed a multi-locus metabarcoding approach to identify which plants, and what proportions of each, are present in pollen samples.
Electron microscopy researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a unique way to build 3-D structures with finely controlled shapes as small as one to two billionths of a meter.
In research presented at IEEE International Conference on Data Science and Advanced Analytics, researchers, from MIT’s Computer Science and Artificial Intelligence Laboratory suggest an algorithm can predict human intuition better than us humans.
Researchers at ETH Zurich led by Mathieu Luisier are using the Titan supercomputer to simulate nanoscale electronics devices. The team ran the largest such simulation to date
ACM and IEEE Computer Society have named Katherine Yelick as the recipient of the 2015 ACM/IEEE Computer Society Ken Kennedy Award for innovative research contributions to parallel computing languages that have been used in both the research community and in production environments. She was also cited for her strategic leadership of the national research laboratories and for developing novel educational and mentoring tools. The award will be presented at SC 15: the International Conference for High Performance Computing, Networking, Storage and Analysis November 17, in Austin, Texas.
A group of researchers in Japan is exploring the behavior of a certain type of SET (single-electron transistor) made from two quantum dots, which are bits of material so small they start to exhibit quantum properties. The group has produced a detailed analysis of the electrical characteristics of the so-called double-quantum-dot SETs, which could help researchers design better devices to manipulate single electrons. They report their findings in the Journal of Applied Physics.
Through an allocation by the DOE Office of Advanced Scientific Computing Research Leadership Computing Challenge, a team of condensed matter theorists at Rutgers University, led by Professors Gabriel Kotliar and Kristjan Haule, used nearly 10 million Titan core hours to calculate the electronic and magnetic structure of plutonium using a combination of density functional theory calculations and the leading-edge dynamical mean field theory technique.
Researchers at the Department of Energy’s Argonne National Laboratory will be testing the limits of computing horsepower this year with a new simulation project from the Virtual Engine Research Institute and Fuels Initiative that will harness 60 million computer core hours to reduce those uncertainties and pave the way to more effective engine simulations.
Hand-written letters and old photos seem quaint in today’s digital age. But there’s one thing traditional media have over hard drives: longevity. Scientists are turning to nature’s master of information storage to save data. One team demonstrated that synthetic DNA can last 2,000 years, and they’re now working to index the system to make it easier to navigate. They present their work today at the 250th National Meeting & Exposition of the American Chemical Society.
PNNL has developed a new tool to forecast for future energy needs that is up to 50 percent more accurate than several commonly used industry tools, showing potential to save millions in wasted electricity. The advancement was selected a 'best paper' at the IEEE Power & Energy general meeting.
A team led by Klaus Schulten of the University of Illinois at Urbana-Champaign used the OLCF’s Titan to achieve a milestone in the field of biomolecular simulation, modeling a complete photosynthetic organelle of the bacteria Rhodobacter sphaeroides in atomic detail. The project, a 100-million atom spherical chromatophore, is the first of its kind, giving scientists a system-level understanding of a fundamental biological process based on all-atom precision.
Robert Edwards, a researcher and senior staff member at the Jefferson Lab (JLAB), is the principal investigator for a team researching the energy spectrum of exotic meson resonances. The main goal of Edwards’ ALCC project is give theoretical underpinnings to the 12-GeV upgrade project and Glue-X photon detector set to open in JLAB’s new HallD.
Understanding the effects that ultra-intense x-ray pulses will have on their potential targets is being studied by research teams at work Argonne National Laboratory’s Advanced Photon Source (APS) and the Argonne Leadership Computing Facility (ALCF), both of which are U.S. Department of Energy (DOE) Office of Science User Facilities.
Trending news releases with the most views in a single day. Topics include: melanoma, relationships, color blindness, kidney replacement, oceanography, supercomputers, awards/honors.
A team of scientists from Berkeley Lab, JGI and UC Berkeley, simplified and sped up genome assembly, reducing a months-long process to mere minutes. This was primarily achieved by “parallelizing” the code to harness the processing power of supercomputers.
Trending news releases with the most views in a single day. Topics include: gun regulation, psychology and altruism, big data, threats to coral reefs, extra-terrestrial life, personalized diets, metabolic syndrome and heart health, new drug target to treat arthritis, and archeologists find oldest tools.
Data centers — large clusters of servers that power cloud computing operations, e-commerce and more — are one of the largest and fastest-growing consumers of electricity in the United States.
Using a "roadmap" of theoretical calculations and supercomputer simulations performed by Berkeley Lab's Daniel Kasen, astronomers observed a flash of light caused by a supernova slamming into a nearby star, allowing them to determine the stellar system from which a Type Ia supernova was born. This finding confirms one of two competing theories about Type Ia supernovae birth.
Supercomputing resources at Oak Ridge National Laboratory will support a new initiative designed to advance how scientists digitally reconstruct and analyze individual neurons in the human brain.
A team led by Stanford scientists has created software that tackles the big data problem for X-ray laser experiments at the Department of Energy’s SLAC National Accelerator Laboratory. The program allows researchers to tease out more details while using far fewer samples and less data and time. It can also be used to breathe new life into old data by reanalyzing and improving results from past experiments at the Linac Coherent Light Source (LCLS) X-ray free-electron laser, a DOE Office of Science User Facility.
ALCF resources being used to demonstrate a predictive modeling capability that can help accelerate the discovery of new materials to improve biofuel and petroleum production
The U.S. Department of Energy’s (DOE) National Energy Research Scientific Computing (NERSC) Center and Cray Inc. announced today that they have finalized a new contract for a Cray XC40 supercomputer that will be the first NERSC system installed in the newly built Computational Research and Theory facility at Lawrence Berkeley National Laboratory.
Under the joint Collaboration of Oak Ridge, Argonne, and Lawrence Livermore (CORAL) initiative, the U.S. Department of Energy announced a $200 million investment to deliver a next-generation supercomputer, known as Aurora, to the Argonne Leadership Computing Facility. When commissioned in 2018, this supercomputer will be open to all scientific users – drawing America’s top researchers to Argonne.
Predicting the types of clouds over the ocean is critical for climate projections. However, current climate models lack the spatial resolution necessary for accurate characterization of certain processes.
The Energy Sciences Network is the Internet connection you wish you had – and more.
With a $1.3 million grant from the Air Force Research Laboratory, researchers at Rensselaer Polytechnic Institute will explore the design and potential of next-generation supercomputers that incorporate a highly efficient “neuromorphic” processor, which more closely represents the human brain in its architectural design.
To find a standard 3D neuron reconstruction algorithm, BigNeuron will sponsor a series of international hackathons and workshops where contending algorithms will be ported onto a common software platform to analyze neuronal physical structure using the same core dataset. All ported algorithms will be bench-tested at the Department of Energy's NERSC and ORNL, as well as Human Brain Project supercomputing centers.
Brookhaven physicist Simon Billinge illustrates how advances in computing and applied mathematics can improve the predictive value of models used to design new materials.
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