Materials scientists use ORNL’s CADES to transform big data to ‘smart data’ for rapid image analysis
April 20, 2015 — Materials scientists use ORNL’s CADES to transform big data to ‘smart data’ for rapid image analysis. ORNL material sciences researchers are collaborating with computer scientists in ORNL’s Compute and Data Environment for Science (CADES) to create a processing and analysis workflow for the expansive scanning probe and electron microscopy data generated at the Center for Nanophase Materials Sciences (CNMS).
Researchers use machine learning to find useful structural properties in neutron and x-ray data
April 17, 2015 — Using CADES compute and data resources, researchers are linking DOE experimental and computational facilities to uncover stacking faults in double-layered perovskite. Here is the title and blurb to use on the webpage: Researchers use machine learning to find useful structural properties in neutron and x-ray data. A team of ORNL researchers is using the lab’s Compute and Data Environment for Science (CADES) to analyze large volumes of neutron and x-ray scattering data to find and identify these defects—a first step to greatly reducing time researchers spend on comparing and contrasting scattering data to identify connections between structure and function.
January 02, 2014 — A team led by Oak Ridge National Laboratory’s Jeremy Smith, the director of ORNL’s Center for Molecular Biophysics and a Governor’s Chair at the University of Tennessee, has uncovered information that could help others harvest energy from plant mass. The team’s conclusion—that less ordered cellulose fibers bind less lignin—was published in the August edition of Biomacromolecules.
The Need for Speed
January 02, 2014 — Since the Oak Ridge Leadership Computing Facility’s (OLCF’s) Titan supercomputer began accepting its full suite of users on May 31st, science has been picking up steam. With its hybrid architecture featuring traditional CPUs alongside GPUs, Titan represents a revolutionary paradigm in high-performance computing’s quest to reach the exascale with only marginal increases in power consumption for the world’s leading systems.
Simulation Shuffles Protons and Electrons
December 16, 2013 — Advances may lead to better catalysts and more efficient solar energy. Plants solved the solar energy challenge billions of years ago, with photosynthesis. The sunlight-fueled process begins with two very plentiful molecules—carbon dioxide (CO2) and water (H2O).
Titan Simulates Earthquake Physics Necessary for Safer Building Design
December 16, 2013 — Researchers conduct unprecedented study on GPUs of damaging, high-frequency shaking
OLCF Wins Big at Conference
December 16, 2013 — The OLCF and industrial users Ford Motor Company and GE Global Research received 5 awards at SC13, the 25th meeting of the annual leading Supercomputing Conference.
Researchers recruit Titan to study key molecular switch that controls cell behavior
December 13, 2013 — Scientists want to manipulate cell behavior for a lot of reasons. If they can control cell functions such as movement and development, they can cripple cells and pathogens that are causing disease in the body.
Peering into Cells One GPU at a Time
November 06, 2013 — Supercomputers monitor proteins responsible for cellular behavior
High-Risk, High-Reward Simulations
November 06, 2013 — OLCF successfully completes its 2012–2013 ALCC campaign