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10-Jan-2018

ORNL researchers use Titan to accelerate design, training of deep learning networks

DOE/Oak Ridge National Laboratory
Business Announcement

For deep learning to be effective, existing neural networks to be modified, or novel networks designed and then 'trained' so that they know precisely what to look for and can produce valid results. This is a time-consuming and difficult task, but one that a team of ORNL researchers recently demonstrated can be dramatically expedited with a capable computing system.

Funder: US Department of Energy Office of Science

3-Jan-2018

Story tips from the Department of Energy's Oak Ridge National Laboratory, January 2018

DOE/Oak Ridge National Laboratory
Peer-Reviewed Publication

ORNL story tips, Jan. 2018: study identifies microbes to diagnose endometriosis without surgery; brain-inspired device can quickly classify data; neutrons 'see' how water flows through fractured rock; new method could help with demand for electric vehicle charging stations; bio-based, shape-memory material could replace today's conductors; novel approach for studying material's magnetic behavior could boost quantum computing.

Journal: Macromolecules
Funder: US Department of Energy's Office of Science, DOE/Oak Ridge National Laboratory, Bioenergy Technologies Office

22-Dec-2017

New study visualizes motion of water molecules, promises new wave of electronic devices

DOE/Oak Ridge National Laboratory
Peer-Reviewed Publication

A novel approach to studying the viscosity of water has revealed new insights about the behavior of water molecules and may open pathways for liquid-based electronics. Oak Ridge National Laboratory used a high-resolution inelastic X-ray scattering technique to measure the strong bond involving a hydrogen atom sandwiched between two oxygen atoms. This hydrogen bond is a quantum-mechanical phenomenon responsible for various properties of water, including viscosity, which determines a liquid's resistance to flow or to change shape.

Journal: Science Advances
Funder: DOE/US Department of Energy

21-Dec-2017

Neutrons track quantum entanglement in copper elpasolite mineral

DOE/Oak Ridge National Laboratory

A research team including Georgia Institute of Technology professor Martin Mourigal used neutron scattering at Oak Ridge National Laboratory to study copper elpasolite, a mineral that can be driven to an exotic magnetic state when subjected to very low temperatures and a high magnetic field.

4-Dec-2017

Story tips from the Department of Energy's Oak Ridge National Laboratory, Dec. 2017

DOE/Oak Ridge National Laboratory
Peer-Reviewed Publication

Story tips from ORNL, Dec. 2017: US cities could save billions with Oak Ridge National Laboratory's precise approach to de-icing wintry roads; discovery of overlooked function of certain microbes could boost environmental clean-up strategies; novel tools can 'see' atomic structures of aluminum-cerium alloys for automotive and aerospace applications.

Journal: Nature Chemical Biology
Funder: Critical Materials Institute, DOE/US Department of Energy, Oak Ridge National Laboratory's Laboratory Directed Research and Development program, US Department of Defense, National Institutes of Health

1-Dec-2017

Drought-resistant plant genes could accelerate evolution of water-use efficient crops

DOE/Oak Ridge National Laboratory
Peer-Reviewed Publication

Scientists at the Department of Energy's Oak Ridge National Laboratory have identified a common set of genes that enable different drought-resistant plants to survive in semi-arid conditions, which could play a significant role in bioengineering and creating energy crops that are tolerant to water deficits.

Journal: Nature Communications
Funder: DOE/US Department of Energy, Biological and Environmental Research, Oak Ridge National Laboratory, Genomic Science Program, Laboratory Directed Research and Development Program

29-Nov-2017

Scaling deep learning for science

DOE/Oak Ridge National Laboratory
Peer-Reviewed Publication

Using the Titan supercomputer, a research team based at Oak Ridge National Laboratory (ORNL) has developed an evolutionary algorithm capable of generating custom neural networks that match or exceed the performance of handcrafted artificial intelligence systems. The research team's algorithm, called MENNDL (Multinode Evolutionary Neural Networks for Deep Learning), is designed to evaluate, evolve, and optimize neural networks for unique datasets in a matter of hours.

27-Nov-2017

World's smallest fidget spinner showcases access to serious science facility

DOE/Oak Ridge National Laboratory

One drop of liquid, a cutting-edge laser 3-D-printer and a few hours are all it takes to make a fidget spinner smaller than the width of a human hair. The tiny whirligig was created by researchers at Oak Ridge National Laboratory's Center for Nanophase Materials Sciences to illustrate the facility's unique resources and expertise available to scientists across the world. The microscale fidget spinner measures only 100 microns wide, or one tenth of a millimeter.

21-Nov-2017

ORNL wins nine R&D 100 Awards

DOE/Oak Ridge National Laboratory
Grant and Award Announcement

Researchers at the Department of Energy's Oak Ridge National Laboratory have received nine R&D 100 Awards in recognition of their significant advancements in science and technology.

15-Nov-2017

Cyanobacterial studies examine cellular structure during nitrogen starvation

DOE/Oak Ridge National Laboratory

Researchers from Washington University in St. Louis and ORNL are using neutrons to study what happens when cyanobacteria cell samples are starved for nitrogen. They are especially interested in how this process affects phycobilisomes, large antenna protein complexes in the cells that harvest light for photosynthesis.