Filter News
Area of Research
- Advanced Manufacturing (5)
- Biology and Environment (28)
- Building Technologies (2)
- Clean Energy (100)
- Climate and Environmental Systems (1)
- Computational Engineering (3)
- Computer Science (13)
- Energy Sciences (2)
- Fusion and Fission (5)
- Fusion Energy (2)
- Isotopes (2)
- Materials (72)
- Materials for Computing (12)
- Mathematics (1)
- National Security (13)
- Neutron Science (20)
- Nuclear Science and Technology (3)
- Quantum information Science (4)
- Supercomputing (64)
News Type
News Topics
- (-) Clean Water (15)
- (-) Computer Science (97)
- (-) Element Discovery (1)
- (-) Energy Storage (72)
- (-) Frontier (16)
- (-) Microscopy (27)
- (-) Physics (28)
- (-) Polymers (21)
- (-) Sustainable Energy (75)
- 3-D Printing/Advanced Manufacturing (74)
- Advanced Reactors (23)
- Artificial Intelligence (43)
- Big Data (24)
- Bioenergy (39)
- Biology (39)
- Biomedical (28)
- Biotechnology (10)
- Buildings (31)
- Chemical Sciences (38)
- Climate Change (44)
- Composites (18)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (27)
- Education (3)
- Environment (78)
- Exascale Computing (10)
- Fossil Energy (2)
- Fusion (23)
- Grid (36)
- High-Performance Computing (39)
- Hydropower (6)
- Irradiation (2)
- Isotopes (23)
- ITER (5)
- Machine Learning (24)
- Materials (92)
- Materials Science (83)
- Mathematics (2)
- Mercury (5)
- Microelectronics (1)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (21)
- Net Zero (5)
- Neutron Science (76)
- Nuclear Energy (45)
- Partnerships (28)
- Quantum Computing (13)
- Quantum Science (36)
- Renewable Energy (1)
- Security (12)
- Simulation (15)
- Space Exploration (13)
- Statistics (2)
- Summit (27)
- Transformational Challenge Reactor (4)
- Transportation (60)
Media Contacts
The Department of Energy’s Oak Ridge National Laboratory is providing national leadership in a new collaboration among five national laboratories to accelerate U.S. production of clean hydrogen fuel cells and electrolyzers.
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.
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 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.
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 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.
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.
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.
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%.