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ORNL technologies receive six R&D 100 Awards

Posted at 11:19 am November 21, 2018
By Oak Ridge Today Staff Leave a Comment

Using the Atomic Forge, Oak Ridge National Laboratory researchers brought two, three, and four silicon atoms together to build clusters (green) and make them rotate within a layer of graphene (blue). (Image courtesy ORNL)

Using the Atomic Forge, Oak Ridge National Laboratory researchers brought two, three, and four silicon atoms together to build clusters (green) and make them rotate within a layer of graphene (blue). (Image courtesy ORNL)

 

By Shelby Whitehead and Sean Simoneau

Researchers at the U.S. Department of Energy’s Oak Ridge National Laboratory have received six R&D 100 Awards in recognition of their significant advancements in science and technology, a press release said. The honorees were recognized over the weekend at the 56th annual R&D 100 Conference, which is sponsored by R&D Magazine.

The awards, known as the “Oscars of Invention,” honor research and development pioneers and their revolutionary breakthroughs in materials science, biomedicine, consumer products, and more from academia, industry, and government-sponsored research agencies, the press release said. This year’s six honors bring ORNL’s total of R&D 100 awards to 216 since their inception in 1963.

ORNL researchers were recognized for the following innovations: [Read more…]

Filed Under: Front Page News, Oak Ridge National Laboratory, Science, U.S. Department of Energy Tagged With: Albina Borisevich, Ambient Reactive Extrusion Additive Manufacturing, Andrew Lupini, Atomic Forge, Bethany Hudak, Brian Post, Derek Rose, Frank Delnick, Gerald Tuskan, Henrique De Paoli, High Voltage Electrolytes for Ultracapacitors, Ivan Kravchenko, Jagjit Nanda, Landon Tyler, Lonnie Love, m-UGA, MENNDL, Mobile Universal Grid Analyzer, Multinode Evolutionary Neural Networks for Deep Learning, Oak Ridge National Laboratory, Ondrej Dyck, Orlando Rios, Peter Lloyd, PPG, R&D, R&D 100 Awards, R&D Magazine, Raymond Unocic, research and development, Robert Patton, Rose Ruther, science, Sergei Kalinin, Seung-Hwan Lim, Stephen Jesse, Steven Young, technology, Thomas Karnowski, Thomas Potok, TNT Cloning System, U.S. Department of Energy, William Carter, Xiaohan Yang, Yilu Liu

ORNL researchers turn to ‘deep learning’ to solve science’s big data problem

Posted at 2:56 pm September 3, 2017
By Oak Ridge Today Staff Leave a Comment

Scientists will use Oak Ridge National Laboratory’s computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. (Photo credit: Jason Richards/Oak Ridge National Laboratory, U.S. Department of Energy)

Scientists will use Oak Ridge National Laboratory’s computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. (Photo credit: Jason Richards/Oak Ridge National Laboratory, U.S. Department of Energy)

 

By Scott Jones, Oak Ridge National Laboratory

A team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the U.S. Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis.

The Advances in Machine Learning to Improve Scientific Discovery at Exascale and Beyond (ASCEND) project aims to use deep learning to assist researchers in making sense of massive datasets produced at the world’s most sophisticated scientific facilities. Deep learning is an area of machine learning that uses artificial neural networks to enable self-learning devices and platforms. The team, led by ORNL’s Thomas Potok, includes Robert Patton, Chris Symons, Steven Young, and Catherine Schuman.

While deep learning has long been used to classify relatively simple data such as photographs, today’s scientific data presents a much greater challenge because of its size and complexity. Deep learning offers the potential to truly change the way in which researchers use massive datasets to solve challenges spanning the scientific spectrum.

For example, neutron scattering data collected at ORNL’s Spallation Neutron Source contain rich scientific information about structure and dynamics of materials under investigation, and deep learning could help researchers better understand the link between experimental data and materials properties.

“This understanding can help scientists build and support new scientific theories, and help to design better materials,” Potok said. [Read more…]

Filed Under: Front Page News, Oak Ridge National Laboratory, Top Stories, U.S. Department of Energy Tagged With: A study of complex deep learning networks on high performance neuromorphic and quantum computers, Advances in Machine Learning to Improve Scientific Discovery at Exascale and Beyond, artificial neural networks, ASCEND, Catherine Schuman, Chris Symons, deep learning, machine learning, massive datasets, Oak Ridge Leadership Computing Facility, Oak Ridge National Laboratory, Office of Science, ORNL, Proceedings of the Workshop on Machine Learning in High Performance Computing Environments, Robert Patton, Scott Jones, self-learning devices, Spallation Neutron Source, Steven Young, Thomas Potok, Titan supercomputer

ORNL wins four federal lab awards for tech transfer

Posted at 12:02 pm February 9, 2017
By Oak Ridge Today Staff Leave a Comment

Oak Ridge National Laboratory’s Open Port Sampling Interfaces for Mass Spectrometry, invented by Gary Van Berkel (left) and Vilmos Kertesz, features simplicity and elegance. (Photo by ORNL)

Oak Ridge National Laboratory’s Open Port Sampling Interfaces for Mass Spectrometry, invented by Gary Van Berkel (left) and Vilmos Kertesz, features simplicity and elegance. (Photo by ORNL)

 

Four technologies developed at the U.S. Department of Energy’s Oak Ridge National Laboratory have earned Federal Laboratory Consortium awards for excellence in technology transfer, a press release said.

The FLC is a network of more than 300 federal laboratories, facilities, and research centers dedicated to promoting and strengthening the commercialization of federal laboratory-developed technologies and expertise, the press release said.

The honors place ORNL in elite company, according to Donna Bialozor, FLC Awards committee chair, who wrote: “This year, your laboratory is one of a select number of recipients, an indication that your nominations were truly of the highest caliber.”

Mike Paulus, ORNL’s director of technology transfer, noted that it is especially significant that ORNL won four of the 19 FLC awards for excellence in technology transfer.

“With these latest awards, ORNL has now won 55 since 1986, reaffirming the importance and relevance of our research and development,” Paulus said.

ORNL earned recognition for the following technologies: [Read more…]

Filed Under: Business, Front Page News, Oak Ridge National Laboratory, Top Stories, U.S. Department of Energy Tagged With: 908 Devices, Barry Goss, Christopher Brown, David Sims, Debasis Bera, DOE, Donna Bialozor, Edna Gergel, Eugene Cochran, Federal Laboratory Consortium, FLC, Gary Van Berkel, James Treadwell, Jennifer Caldwell, John Simpson, Jud Hightower, Kevin Knopp, Kevin Smith, Marc Filigenzi, Marc Filligenzi, mass spectrometry, Michael Ramsey, Mike Paulus, Miniature Ion Trap Mass Analyzer, Oak Ridge National Laboratory, Office of Science, Open Port Sampling Interfaces for Mass Spectrometry, ORNL, Piranha Text Mining Tool, R&D 100 Award, Robert Patton, Samsung, SCIEX, Superhydrophobic Transparent Glass Thin Film Innovation, tech transfer, technology transfer, thin film coating, Thomas Potok, Tolga Aytug, Tom Covey, U.S. Department of Energy, UT-Battelle, Vilmos Kertesz, Vortex Analytics, William Whitten, Yoon Goo Lee

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