![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
- (-) Fusion and Fission (46)
- (-) Neutron Science (20)
- (-) Nuclear Science and Technology (39)
- Advanced Manufacturing (7)
- Biological Systems (2)
- Biology and Environment (59)
- Clean Energy (100)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion Energy (18)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (50)
- Materials for Computing (3)
- National Security (35)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (2)
- Sensors and Controls (2)
- Supercomputing (57)
News Topics
- (-) Advanced Reactors (17)
- (-) Artificial Intelligence (7)
- (-) Bioenergy (8)
- (-) Composites (2)
- (-) Fusion (30)
- (-) Grid (2)
- (-) Machine Learning (3)
- (-) Nuclear Energy (63)
- (-) Security (3)
- 3-D Printing/Advanced Manufacturing (13)
- Big Data (2)
- Biology (5)
- Biomedical (14)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (1)
- Computer Science (16)
- Coronavirus (9)
- Critical Materials (1)
- Cybersecurity (2)
- Decarbonization (5)
- Energy Storage (10)
- Environment (10)
- Exascale Computing (1)
- Fossil Energy (2)
- Frontier (2)
- High-Performance Computing (4)
- Isotopes (6)
- ITER (6)
- Materials (14)
- Materials Science (27)
- Mathematics (1)
- Microscopy (4)
- Molten Salt (4)
- Nanotechnology (11)
- National Security (2)
- Net Zero (1)
- Neutron Science (101)
- Partnerships (3)
- Physics (11)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (7)
- Simulation (3)
- Space Exploration (8)
- Summit (6)
- Sustainable Energy (7)
- Transformational Challenge Reactor (3)
- Transportation (7)
Media Contacts
![Three staff members in Oak Ridge National Laboratory’s Fusion and Fission Energy and Science Directorate (FFESD) have moved into newly established roles facilitating communication and program management with sponsors of the directorate’s Nuclear Energy and Fuel Cycle Division.](/sites/default/files/styles/list_page_thumbnail/public/2024-02/3_people_spacing.jpg?h=08ef668f&itok=33PRJFyS)
Three staff members in ORNL’s Fusion and Fission Energy and Science Directorate have moved into newly established roles facilitating communication and program management with sponsors of the directorate’s Nuclear Energy and Fuel Cycle Division.
![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.
![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.
![Luiz Leal portrait](/sites/default/files/styles/list_page_thumbnail/public/2023-11/2023-P12447_0.jpg?h=036a71b7&itok=pK390n3n)
ORNL’s Luiz Leal of the Department of Energy’s Oak Ridge National Laboratory is the recipient of the 2023 Seaborg Medal from the American Nuclear Society.
![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.
![Photo 1: Event organizers from the Nuclear Energy Fuel Cycle Division. Credit: Carol Morgan/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-10/2023-p15692.jpg?h=c6980913&itok=ommiWsy2)
The heat is on at this year’s Molten Salt Reactor Workshop – where top research and industry minds are melding to advance development on molten salt technology – at ORNL.
![Professional women in the IAEA’s Lise Meitner Programme 2023 cohort and supporters assembled at ORNL. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-10/2023-P14921.jpg?h=8f9cfe54&itok=EUxRbkj2)
The Department of Energy’s Oak Ridge National Laboratory hosted the second 2023 cohort of the International Atomic Energy Agency’s Lise Meitner Programme in October.
![: 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.
![Cadet Elyse Wages, Mike Shaffer and Amanda Sandifer pose with a collected sample of air. Credit: Liz Neunsinger/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/20230627_140821.png?h=b6fd9b7a&itok=ESPeHBk1)
Cadet Elyse Wages, a rising junior at the United States Air Force Academy, visited ORNL with one goal in mind: collect air.
![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.