Filter News
Area of Research
- Advanced Manufacturing (4)
- Biological Systems (1)
- Biology and Environment (18)
- Clean Energy (20)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion Energy (1)
- Isotopes (1)
- Materials (14)
- Materials for Computing (2)
- National Security (1)
- Neutron Science (4)
- Nuclear Science and Technology (1)
- Supercomputing (14)
News Type
News Topics
- (-) Artificial Intelligence (23)
- (-) Bioenergy (22)
- (-) Biomedical (15)
- (-) Composites (13)
- (-) Exascale Computing (4)
- (-) Frontier (4)
- 3-D Printing/Advanced Manufacturing (50)
- Advanced Reactors (18)
- Big Data (22)
- Biology (25)
- Biotechnology (3)
- Buildings (29)
- Chemical Sciences (26)
- Clean Water (13)
- Climate Change (32)
- Computer Science (57)
- Coronavirus (15)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (15)
- Energy Storage (48)
- Environment (60)
- Fossil Energy (1)
- Fusion (18)
- Grid (25)
- High-Performance Computing (23)
- Hydropower (6)
- Irradiation (3)
- Isotopes (15)
- ITER (4)
- Machine Learning (14)
- Materials (68)
- Materials Science (54)
- Mathematics (2)
- Mercury (3)
- Microscopy (20)
- Molten Salt (6)
- Nanotechnology (24)
- National Security (12)
- Net Zero (3)
- Neutron Science (42)
- Nuclear Energy (36)
- Partnerships (8)
- Physics (10)
- Polymers (14)
- Quantum Computing (6)
- Quantum Science (14)
- Security (4)
- Simulation (12)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Summit (8)
- Sustainable Energy (56)
- Transformational Challenge Reactor (1)
- Transportation (49)
Media Contacts
In a game-changing study, ORNL scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition.
A research scientist with the Department of Energy’s Oak Ridge National Laboratory, Ayana Ghosh was named the 2024 Early Discovery Award winner by the American Ceramic Society. The award recognizes an early career member of the organization who has contributed to basic science in the field of glass and ceramics.
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.
Erin Webb, lead for the Bioresources Science and Engineering group at Oak Ridge National Laboratory, has been elected a Fellow of the American Society of Agricultural and Biological Engineers — the society’s highest honor.
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.
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
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.
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.
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.