DOE News
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    The DOE Science News Source is a Newswise initiative to promote research news from the Office of Science of the DOE to the public and news media.
    • 2019-04-17 14:05:38
    • Article ID: 711517

    Department of Energy Announces $20 Million for Artificial Intelligence Research

    Research Aims at Improving A.I. as a Tool of Grid Resiliency and Science

    Today, the U.S. Department of Energy (DOE) announced a total of $20 million in funding for innovative research and development in artificial intelligence (A.I.) and machine learning. DOE’s Office of Electricity has selected eight projects to receive nearly $7 million in total to explore the use of big data, artificial intelligence, and machine learning technologies to improve existing knowledge and discover new insights and tools for better grid operation and management. DOE’s Office of Science announced a plan to provide $13 million in total funding for new research aimed at improving A.I. as a tool of scientific investigation and prediction. 

    “Leveraging the power of artificial intelligence will revolutionize every single aspect of our lives and help us address the complex challenges we face today, including the world’s most pressing scientific challenges and securing the power grid in our rapidly evolving environment,” said U.S. Secretary of Energy Rick Perry. “These two sets of A.I. funding will help ensure continued advancement in the scientific fields and will strengthen the resilience of our Nation’s critical energy infrastructure.”

    Both the Grid Resiliency and Science A.I. investments are the latest examples of the Trump Administration’s commitment to prioritizing the cross-cutting research and development of America’s A.I. capabilities and driving breakthroughs in transformative applications of A.I.

    A.I. in Grid Resiliency

    These projects, totaling nearly $7 million in federal funding, are expected to inform and shape the future development and application of faster grid analytics and modeling, better grid asset management, and sub-second automatic control actions that will help system operators avoid grid outages, improve operations, and reduce costs.

    These projects will uphold DOE’s commitment to ensuring secure, reliable, and resilient electricity. A detailed list of the eight projects selected for awards is available HERE.  Final award amounts are subject to negotiation.

    A.I. in Science

    Of the $13 million, $11 million will be devoted to the development of new A.I. algorithms and software adapted to specific scientific problems or sets of problems. Applications will be open to DOE national laboratories, with opportunities for universities, industry, and nonprofit organizations to participate as partners. Awards will be selected competitively by peer review. The total planned funding of $11 million in FY 2019 dollars will support three-year projects. Letters of Intent are due May 1, 2019, by 5 PM Eastern. Final applications are due May 31, 2019, by 5 PM Eastern. The full text of the FOA for DOE national laboratories can be found HERE.

    A further $2 million will support research aimed at improving the reliability of predictions from A.I. and machine learning models through the application of mathematical and statistical techniques of uncertainty quantification. Applications will be open to national laboratories, universities, industry, and nonprofit organizations. Awards will be selected competitively by peer review. The total planned funding of $2 million in FY 2019 dollars will support two-year projects. Letters of Intent are required and are due May 8, 2019, by 5 PM Eastern. Final applications are due May 31, 2019, by 5 PM Eastern. The full text of the FOA can be found HERE.

    More information about DOE’s efforts to improve the resilience of the Nation’s critical energy infrastructure is available HERE. More information on DOE’s Office of Science programs is available HERE.

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    Energy Department to Invest $32 Million in Computer Design of Materials

    The U.S. Department of Energy announced that it will invest $32 million over the next four years to accelerate the design of new materials through use of supercomputers.

    Demarteau to head ORNL Physics Division

    Demarteau to head ORNL Physics Division

    The Department of Energy's Oak Ridge National Laboratory has named Marcel Demarteau as Physics Division Director, effective June 17.

    PPPL and Oak Ridge manage new DOE program designed to speed development of fusion energy with private-public partnerships

    PPPL and Oak Ridge manage new DOE program designed to speed development of fusion energy with private-public partnerships

    Feature describes PPPL role in innovative DOE program to promote public-private partnerships to speed development of fusion energy.

    ORNL welcomes seven new research fellows to Innovation Crossroads

    ORNL welcomes seven new research fellows to Innovation Crossroads

    Oak Ridge National Laboratory welcomed seven technology innovators to join the third cohort of Innovation Crossroads, the Southeast's only entrepreneurial research and development program based at a U.S. Department of Energy national laboratory.

    New DOE program connects fusion companies with national labs, taps ORNL to lead

    New DOE program connects fusion companies with national labs, taps ORNL to lead

    The Department of Energy has established the Innovation Network for Fusion Energy program, or INFUSE, to encourage private-public research partnerships for overcoming challenges in fusion energy development.

    Department of Energy Announces $75 Million for High Energy Physics Research

    The U.S. Department of Energy (DOE) announced $75 million in funding for 66 university research awards on a range of topics in high energy physics to advance knowledge of how the universe works at its most fundamental level.

    Ames Laboratory names James Morris Chief Research Officer

    Ames Laboratory names James Morris Chief Research Officer

    Dr. James Morris has been named Chief Research Officer at the Department of Energy's (DOE) Ames Laboratory. His appointment follows an extensive search and will be effective June 17, 2019.

    Four scientists at PPPL awarded national and international honors

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    Feature profiles four PPPL scientists who have received high honors.

    Brookhaven's Mircea Cotlet Named a Battelle "Inventor of the Year"

    Brookhaven's Mircea Cotlet Named a Battelle "Inventor of the Year"

    The global science and technology organization Battelle recognized materials scientist Mircea Cotlet of Brookhaven Lab's Center for Functional Nanomaterials for his research in applying self-assembly methods to control the interfaces between nanomaterials and other light-interacting components.

    Berkeley Lab Project to Pinpoint Methane 'Super Emitters'

    Berkeley Lab Project to Pinpoint Methane 'Super Emitters'

    Methane, a potent greenhouse gas that traps about 30 times more heat than carbon dioxide, is commonly released from rice fields, dairies, landfills, and oil and gas facilities - all of which are plentiful in California. Now Berkeley Lab has been awarded $6 million by the state to find "super emitters" of methane in an effort to quantify and potentially mitigate methane emissions.


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    Superconducting Films for Particle Acceleration

    Superconducting Films for Particle Acceleration

    Researchers demonstrated record accelerating cavity performance using a technique that could lead to significant cost savings.

    Parceling Particle Beams

    Parceling Particle Beams

    Beam chopper cuts accelerator-generated ion beams under highly demanding conditions.

    An Interaction of Slipping Beams

    An Interaction of Slipping Beams

    Successful models of the fraught dynamics of two particle beams in close contact lead to smoother sailing in an area of particle acceleration.

    Computer Simulation Shows Astrophysical Particle Acceleration

    Computer Simulation Shows Astrophysical Particle Acceleration

    Particles act in a way that justifies extrapolating simulation results to astrophysical scales.

    High-Fidelity Multiphysics Simulations to Improve Nuclear Reactor Safety and Economics

    High-Fidelity Multiphysics Simulations to Improve Nuclear Reactor Safety and Economics

    Engineers can model heat distribution in reactor designs with fewer or no approximations.

    Simulations Shed Light on Self-Healing Cement

    Simulations Shed Light on Self-Healing Cement

    A first-of-its-kind computer simulation reveals self-healing cement for geothermal and oil and gas wells performs better than originally thought.

    Solving a Beta Decay Puzzle

    Solving a Beta Decay Puzzle

    Researchers use advanced nuclear models to explain 50-year mystery surrounding the process stars use to transform elements.

    Why Are These Extremely Light Calcium Isotopes So Small?

    Why Are These Extremely Light Calcium Isotopes So Small?

    The radii of three proton-rich calcium isotopes are smaller than previously predicted because models didn't account for two nuclear interactions.

    Tiny Vortices Could One Day Haul Microscopic Cargo

    Tiny Vortices Could One Day Haul Microscopic Cargo

    The behavior of active magnetic liquids suggests new pathways to transport particles across surfaces and build materials that self-heal.

    Raised on Copper: A New Material for Tougher Devices

    Raised on Copper: A New Material for Tougher Devices

    Discovery of new boron-containing phase opens the door for resilient flexible electronics.


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