January 24, 2019
New Reactor Project’s Roots go back to 1990s Idaho Research
Source: Paul Menser for INL Public Affairs and Strategic Initiatives In January 2018 NRC announced its conclusion that NuScale’s novel safety design approach eliminates the need for class 1E power. Class 1E is the regulatory standard set for the design of safety-related nuclear power plant electrical systems, and all nuclear plants in the U.S. are […]

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January 24, 2019
Idaho National Laboratory Wins Four R&D 100 Awards
Source: Leslie Wright, Sarah Neumann, INL.gov Idaho National Laboratory has been honored with four R&D 100 Awards. Sometimes referred to as the “Oscars of Innovation,” R&D Magazine selected these winners from nearly 180 finalists to recognize the top 100 most significant technologies of 2018. “I often talk about how proud I am of INL’s employees, and the […]

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January 22, 2019
PNNL To Build New Energy Science Research Building
PNNL to build new energy sciences research building; design and construction firms selected Research facility will lead to improved catalysts, more energy-efficient transportation By Greg Koller, PNNL, January 22, 2019. RICHLAND, WA – A new facility where scientists will conduct research that leads to improved catalysts, and more efficient energy and transportation technologies, will be constructed […]

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January 17, 2019
TriboTEX Awarded AFWERX SBIR Innovation Grant to Explore Nanomaterial Coating Platforms to Extend Operational Lifetimes of Helicopter Gearboxes
Source: PRUnderground.com, January 8th, 2019 Washington-based TriboTEX has been awarded one of the U.S. Air Force’s Small Business Innovation Research grants of $50,000. Under the special topic, awardees were challenged to provide innovative, defense-related, dual-purpose technologies or solutions to meet a clear Air Force need. he new award allows TriboTEX to expand solutions the company […]

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January 17, 2019
Boeing: Excess 777X Carbon Fiber to be Recycled into Household Products
Boeing has entered a groundbreaking partnership to recycle excess composite material into car parts, computer cases, and other products.  The agreement will alleviate sending excess material from eleven Boeing composite manufacturing sites to landfills, including the 777X Composite Wing Center in Everett, WA. Read more here.

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January 16, 2019
Steven Ghan Selected as Fellow of the American Geophysical Union
Source: PNNL December 2018 Steven Ghan, a climate researcher at Pacific Northwest National Laboratory for more than 25 years, has been elected to the newest class of Fellows of the American Geophysical Union. The honor of Fellow is given to AGU members who have made exceptional scientific contributions and gained prominence in their respective fields […]

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January 16, 2019
Radiological Microscopy Suite Enables Innovative Nuclear Science
Source: PNNL, December 2018 Pacific Northwest National Laboratory (PNNL) has recently completed a multi-year, multi-million-dollar investment to establish a microscopy facility in the Radiochemical Processing Laboratory(RPL) that provides unprecedented new nuclear science research capabilities to analyze and characterize radiological materials. “This investment will both advance nuclear science research and supporting programs, as well as strengthen the […]

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January 16, 2019
Scientists Achieve Difficult Chemical Step with Lower Energy Input
Source: PNNL December 2018 Ba Tran, a PNNL postdoctoral scientist, made the crucial discovery that the molecular rhodium starting complex is not the actual catalyst. Under reaction conditions, the soluble rhodium complex is transformed into rhodium nanoparticles that carry out the catalysis. Knowing this key information will allow scientists to further hone the process and […]

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January 16, 2019
PNNL: How deep learning is bringing automatic cloud detection to new heights
By Susan Bauer, PNNL, December 012, 2018. Recently, researchers at the Department of Energy’s Pacific Northwest National Laboratory teamed up to find out if deep learning—a distinct subset of machine learning—can do a better job at identifying clouds in lidar data than the current physics-based algorithms. The answer: A clear “yes.” The new model is much closer to […]

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