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Media Contacts
![Howard Wilson and Gary Staebler](/sites/default/files/styles/list_page_thumbnail/public/2023-12/Wilson-Staebler_0.png?h=ca9e32dd&itok=fLUb03Ia)
Two fusion energy leaders have joined ORNL in the Fusion and Fission Energy and Science Directorate, or FFESD.
![Debjani Pal’s photo “Three-Dimensional Breast Cancer Spheroids” won the Director’s Choice Award in Oak Ridge National Laboratory’s Art of Science photo competition. It will be displayed at the American Museum of Science and Energy in Oak Ridge, Tenn. Credit: Debjani Pal/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/ArtofSci23_1700166411096.png?h=a06d9019&itok=lbq0KEuH)
![INFUSE logo](/sites/default/files/styles/list_page_thumbnail/public/2023-12/infuse_logo-011_0_0.jpeg?h=855b71fd&itok=vmDC02PO)
ORNL is leading three research collaborations with fusion industry partners through the Innovation Network for FUSion Energy, or INFUSE, program that will focus on resolving technical challenges and developing innovative solutions to make practical fusion energy a reality.
![Frontier, the fastest supercomputer in the world, provides expansive and energy-efficient power, which gives scientists the capability to train large AI models in a responsible way.](/sites/default/files/styles/list_page_thumbnail/public/2023-11/Frontier.jpg?h=c6980913&itok=Xugo8LTI)
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
![The sun sets behind the ORNL Visitor Center in this aerial photo from April 2023. Credit: Kase Clapp/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-10/sunset_visitor-center_0.png?h=10d202d3&itok=jLImPT0R)
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
![: This schematic of tokamak core-pedestal-boundary regions show what will be simulated by an ORNL project applying machine learning to plasma physics modeling. Credit: Giacomin et al., J. Comput. Phys., 463, (2022) 111294, https://doi.org/10.1016/j.jcp.2022.11294](/sites/default/files/styles/list_page_thumbnail/public/2023-10/Fusion%20tokamak%20simulator.png?h=e1e3aba4&itok=kiVnri5A)
ORNL will lead three new DOE-funded projects designed to bring fusion energy to the grid on a rapid timescale.
![The DEMAND single crystal diffractometer at the High Flux Isotope Reactor, or HFIR, is the latest neutron instrument at the Department of Energy’s Oak Ridge National Laboratory to be equipped with machine learning-assisted software, called ReTIA. Credit: Jeremy Rumsey/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/DEMAND%20thumbnail%20image_0.jpg?h=c673cd1c&itok=5YAVwaP6)
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
![AIRES 4 attendees hailing from seven national laboratories and from academia met to discuss robust engineering for digital twins. Credit: Pradeep Ramuhalli/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/aires_attendees_0.jpg?h=9fc2b970&itok=20wrmyuA)
ORNL hosted its fourth Artificial Intelligence for Robust Engineering and Science, or AIRES, workshop from April 18-20. Over 100 attendees from government, academia and industry convened to identify research challenges and investment areas, carving the future of the discipline.
![ORNL seismic researcher Chengping Chai placed seismic sensors on the ground at various distances from an ORNL nuclear reactor to learn whether they could detect its operating state. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/2023-P03398.jpg?h=3e43625b&itok=TXK8tthh)
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
![Phil Snyder](/sites/default/files/styles/list_page_thumbnail/public/2023-04/snyder.png?h=17c3cd98&itok=1HuorVwS)
When virtually unlimited energy from fusion becomes a reality on Earth, Phil Snyder and his team will have had a hand in making it happen.