![This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.](/sites/default/files/styles/featured_square_large/public/2024-07/2023-P08173.jpg?h=c6980913&itok=LnJLvflD)
Filter News
Area of Research
- Advanced Manufacturing (8)
- Biology and Environment (18)
- Clean Energy (60)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (15)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (63)
- Materials Characterization (1)
- Materials for Computing (6)
- Materials Under Extremes (1)
- National Security (17)
- Neutron Science (21)
- Nuclear Science and Technology (10)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (52)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (50)
- (-) Advanced Reactors (12)
- (-) Artificial Intelligence (32)
- (-) Computer Science (62)
- (-) Exascale Computing (12)
- (-) Grid (18)
- (-) Machine Learning (14)
- (-) Materials Science (53)
- (-) Nuclear Energy (33)
- (-) Partnerships (28)
- (-) Security (11)
- Big Data (11)
- Bioenergy (24)
- Biology (22)
- Biomedical (18)
- Biotechnology (7)
- Buildings (15)
- Chemical Sciences (33)
- Clean Water (2)
- Climate Change (25)
- Composites (10)
- Coronavirus (17)
- Critical Materials (11)
- Cybersecurity (18)
- Decarbonization (22)
- Education (3)
- Element Discovery (1)
- Energy Storage (45)
- Environment (44)
- Fossil Energy (1)
- Frontier (17)
- Fusion (14)
- High-Performance Computing (33)
- Irradiation (1)
- Isotopes (21)
- ITER (2)
- Materials (67)
- Mercury (2)
- Microelectronics (1)
- Microscopy (18)
- Molten Salt (2)
- Nanotechnology (28)
- National Security (20)
- Net Zero (4)
- Neutron Science (56)
- Physics (24)
- Polymers (13)
- Quantum Computing (10)
- Quantum Science (28)
- Renewable Energy (1)
- Simulation (11)
- Software (1)
- Space Exploration (3)
- Statistics (1)
- Summit (22)
- Sustainable Energy (37)
- Transformational Challenge Reactor (4)
- Transportation (32)
Media Contacts
![ORNL Associate Laboratory Director for Computing and Computational Sciences. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-01/tourassi.jpg?h=55be468c&itok=AvEfpuPK)
Gina Tourassi, associate laboratory director for computing and computational sciences at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory, has been named a fellow of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
![Rigoberto “Gobet” Advincula, a scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a 2023 Fellow of the National Academy of Inventors, or NAI.](/sites/default/files/styles/list_page_thumbnail/public/2023-12/2020-P00191.jpg?h=8f9cfe54&itok=43lhaceG)
Rigoberto “Gobet” Advincula, a scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a 2023 Fellow of the National Academy of Inventors. Advincula has been recognized for his 14 patents and 21 published filings related to nanomaterials, smart coatings and films, solid-state device fabrication and chemical additives.
![ORNL scientist Zhijia Du, white coat, former ORNL scientist Jianlin Li, blue coat, and Ateios CEO Rajan Kumar inspect battery components during a pilot production run. Credit: Kurt Weiss/ORNL, U.S. Dept of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/Kumar.2023-P12479.jpg?h=22d8bc0e&itok=SexbmLnB)
Ateios Systems licensed an ORNL technology for solvent-free battery component production using electron curing. Through Innovation Crossroads, Ateios continues to work with ORNL to enable readiness for production-quality battery components.
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%.
![From left, Cable-Dunlap, Chi, Smith and Thornton have been named ORNL Corporate Fellows. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/corpfellow_nov23_2.jpg?h=d1cb525d&itok=G_PduE-d)
Four researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
![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.
![2023 Battelle Distinguished Inventors](/sites/default/files/styles/list_page_thumbnail/public/2023-11/23-G07641-Battelle-Distinguished-Inventor-graphic-pcg_0.jpg?h=d1cb525d&itok=uhmqAKgT)
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
![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 Frontier exascale supercomputer at Oak Ridge National Laboratory. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/52117623843_512fd5631b_c.jpg?h=58082582&itok=N8ldUZ5g)
ORNL has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for
![Conceptual art depicts machine learning finding an ideal material for capacitive energy storage. Its carbon framework (black) has functional groups with oxygen (pink) and nitrogen (turquoise). Credit: Tao Wang/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/Press%20release%20image_0.jpg?h=706c9a24&itok=zX1lC5ud)
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.