![White car (Porsche Taycan) with the hood popped is inside the building with an american flag on the wall.](/sites/default/files/styles/featured_square_large/public/2024-06/2024-P09317.jpg?h=8f9cfe54&itok=m6sQhZRq)
Filter News
Area of Research
- Advanced Manufacturing (5)
- Biology and Environment (24)
- Building Technologies (2)
- Clean Energy (79)
- Climate and Environmental Systems (1)
- Computational Engineering (3)
- Computer Science (14)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Fusion Energy (2)
- Isotopes (1)
- Materials (44)
- Materials for Computing (9)
- Mathematics (1)
- National Security (16)
- Neutron Science (16)
- Nuclear Science and Technology (3)
- Quantum information Science (5)
- Sensors and Controls (1)
- Supercomputing (64)
News Type
News Topics
- (-) Clean Water (14)
- (-) Computer Science (101)
- (-) Frontier (17)
- (-) Physics (28)
- (-) Polymers (22)
- (-) Security (12)
- (-) Sustainable Energy (81)
- 3-D Printing/Advanced Manufacturing (81)
- Advanced Reactors (25)
- Artificial Intelligence (44)
- Big Data (28)
- Bioenergy (40)
- Biology (40)
- Biomedical (29)
- Biotechnology (10)
- Buildings (35)
- Chemical Sciences (42)
- Climate Change (47)
- Composites (19)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (21)
- Decarbonization (31)
- Education (3)
- Element Discovery (1)
- Energy Storage (75)
- Environment (88)
- Exascale Computing (13)
- Fossil Energy (1)
- Fusion (23)
- Grid (38)
- High-Performance Computing (42)
- Hydropower (6)
- Irradiation (3)
- Isotopes (26)
- ITER (5)
- Machine Learning (24)
- Materials (104)
- Materials Science (87)
- Mathematics (1)
- Mercury (5)
- Microelectronics (1)
- Microscopy (29)
- Molten Salt (7)
- Nanotechnology (40)
- National Security (23)
- Net Zero (5)
- Neutron Science (83)
- Nuclear Energy (52)
- Partnerships (29)
- Quantum Computing (14)
- Quantum Science (38)
- Renewable Energy (1)
- Simulation (18)
- Software (1)
- Space Exploration (13)
- Statistics (3)
- Summit (27)
- Transformational Challenge Reactor (4)
- Transportation (67)
Media Contacts
![Forrest Hoffman](/sites/default/files/styles/list_page_thumbnail/public/2024-04/2021-P09697%20%281%29.jpg?h=49ab6177&itok=3hUiPtM2)
Forrest Hoffman, a distinguished scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a senior member of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
The United States could triple its current bioeconomy by producing more than 1 billion tons per year of plant-based biomass for renewable fuels, while meeting projected demands for food, feed, fiber, conventional forest products and exports, according to the DOE’s latest Billion-Ton Report led by ORNL.
![ORNL’s Kate Evans has been awarded the 2024 Society for Industrial and Applied Mathematicians Activity Group on Mathematics of Planet Earth Prize.](/sites/default/files/styles/list_page_thumbnail/public/2024-03/Evans_SIAM.jpg?h=c6980913&itok=2lgbSBjY)
Kate Evans, director for the Computational Sciences and Engineering Division at ORNL, has been awarded the 2024 Society for Industrial and Applied Mathematicians Activity Group on Mathematics of Planet Earth Prize.
![Anuj Kapadia](/sites/default/files/styles/list_page_thumbnail/public/2024-03/kapadia.jpg?h=8f9cfe54&itok=M4gtR_dd)
Anuj J. Kapadia, who heads the Advanced Computing Methods for Health Sciences Section at ORNL, has been elected as president of the Southeastern Chapter of the American Association of Physicists in Medicine.
![Moriano awarded early career fellowship for underrepresented groups](/sites/default/files/styles/list_page_thumbnail/public/2024-02/Pablo-Moriano-Pic.jpg?h=4d38fa4a&itok=QTrNiMK-)
Pablo Moriano, a research scientist in the Computer Science and Mathematics Division at ORNL, was selected as a member of the 2024 Class of MGB-SIAM Early Career Fellows.
![: ORNL climate modeling expertise contributed to an AI-backed model that assesses global emissions of ammonia from croplands now and in a warmer future, while identifying mitigation strategies. This map highlights croplands around the world. Credit: U.S. Geological Survey](/sites/default/files/styles/list_page_thumbnail/public/2024-02/global_croplands_usgs_globe-4g_1.png?h=4016a495&itok=rb8eHyvK)
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
![Researchers at Corning have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.](/sites/default/files/styles/list_page_thumbnail/public/2024-01/picture2.png?h=342db57d&itok=yUdVp1Za)
Corning uses neutron scattering to study the stability of different types of glass. Recently, researchers for the company have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.
![Gina Tourassi. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/2023-P18395%5B30%5D_1.jpg?h=8f9cfe54&itok=pTv9bdLA)
Effective Dec. 4, Gina Tourassi will assume responsibilities as associate laboratory director for the Computing and Computational Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory.
![Researchers used Frontier, the world’s first exascale supercomputer, to simulate a magnesium system of nearly 75,000 atoms and the National Energy Research Computing Center’s Perlmutter supercomputer to simulate a quasicrystal structure, above, in a ytterbium-cadmium alloy. Credit: Vikram Gavini](/sites/default/files/styles/list_page_thumbnail/public/2023-11/Gavini_quasiCrystal_0.png?h=c85002af&itok=6QPdbiZo)
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.