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7-Nov-2019
Machine learning analyses help unlock secrets of stable 'supercrystal'
DOE/Oak Ridge National Laboratory
By blasting a frustrated mixture of materials with quick pulses of laser light, researchers transformed a superlattice into a supercrystal, a rare, repeating, three-dimensional structural much larger than an ordinary crystal. Using machine learning techniques, they studied the underlying structure of this sample at the nanoscale level before and after applying the laser pulse treatment.
6-Nov-2019
ORNL to take on nine power grid modernization projects as part of DOE award
DOE/Oak Ridge National LaboratoryBusiness Announcement
Oak Ridge National Laboratory researchers will lead two new projects and support seven more to enhance the reliability and resilience of the nation's power grid as part of the US Department of Energy's 2019 Grid Modernization Lab Call.
- Funder
- DOE/US Department of Energy
4-Nov-2019
Story tips from the Department of Energy's Oak Ridge National Laboratory, November 2019
DOE/Oak Ridge National LaboratoryPeer-Reviewed Publication
ORNL and NREL took demonstrated a miniaturized gyroscope. ORNL created and tested new wireless charging designs. If humankind reaches Mars this century, an ORNL-developed experiment testing advanced materials for spacecraft may play a key role. ORNL and Georgia Tech found that critical interactions between microbes and peat moss break down under warming temperatures. ORNL and industry demonstrated that an additively manufactured hot stamping die can withstand up to 25,000 usage cycles.
28-Oct-2019
Search for lightweight alloying solutions earns team a Gordon Bell finalist nomination
DOE/Oak Ridge National Laboratory
A University of Michigan team used the 200-petaflop IBM AC922 Summit supercomputer to perform a simulation of a 10,000-atom magnesium dislocation system, a feat that could allow scientists to understand which alloying materials to add to improve magnesium alloys. By simulating a system tenfold larger than was possible with previous codes and 20 times faster, the team achieved a 200-fold speedup, running at 46 petaflops and earning an ACM Gordon Bell Prize finalist nomination.
28-Oct-2019
Gordon Bell finalist team tackles transistors with new programming paradigm
DOE/Oak Ridge National Laboratory
A team at ETH Zurich performed a 10,000-atom simulation of a 2D slice of a transistor on the IBM AC922 Summit supercomputer and developed a map of where heat is produced in a single transistor. Using a new data-centric version of the OMEN nanodevice simulator, the team reached a sustained performance of 85.45 petaflops and earned a 2019 Association for Computing Machinery Gordon Bell Prize finalist nomination.
25-Oct-2019
Cold, hard data: ORNL data scientists support historic Arctic expedition
DOE/Oak Ridge National Laboratory
MOSAiC, the largest polar expedition of all time, will produce demanding quantities of data. ORNL staff in the field and the lab collect, store and process it to share with collaborators around the world.
23-Oct-2019
The way is clear: CORNING taps neutrons for developing new glass compositions
DOE/Oak Ridge National Laboratory
Corning researchers are using neutrons at ORNL's Spallation Neutron Source to better understand the correlations between the structure and properties of glass to develop new compositions tailored for a range of applications.
23-Oct-2019
Quantum supremacy milestone harnesses ORNL Summit supercomputer
DOE/Oak Ridge National LaboratoryPeer-Reviewed Publication
A joint research team from Google Inc., NASA Ames Research Center, and the Department of Energy's Oak Ridge National Laboratory has demonstrated that a quantum computer can outperform a classical computer at certain tasks, a feat known as quantum supremacy.
- Journal
- Nature
- Funder
- DOE/US Department of Energy
17-Oct-2019
Bio-circuitry mimics synapses and neurons in a step toward sensory computing
DOE/Oak Ridge National LaboratoryPeer-Reviewed Publication
Researchers at the Department of Energy's Oak Ridge National Laboratory, the University of Tennessee and Texas A&M University demonstrated bio-inspired devices that accelerate routes to neuromorphic, or brain-like, computing. Their discovery could support the emergence of computing networks modeled on biology for a sensory approach to machine learning.
- Journal
- Nature Communications