Filter News
Area of Research
- Advanced Manufacturing (5)
- Biology and Environment (31)
- Clean Energy (68)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (18)
- Fusion Energy (9)
- Isotope Development and Production (1)
- Isotopes (10)
- Materials (75)
- Materials Characterization (1)
- Materials for Computing (14)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (11)
- Neutron Science (19)
- Nuclear Science and Technology (19)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (2)
- Supercomputing (32)
- Transportation Systems (1)
News Type
News Topics
- (-) Climate Change (44)
- (-) Fusion (23)
- (-) Grid (35)
- (-) High-Performance Computing (37)
- (-) Isotopes (22)
- (-) Materials Science (83)
- (-) Nuclear Energy (44)
- (-) Polymers (21)
- (-) Security (12)
- 3-D Printing/Advanced Manufacturing (75)
- Advanced Reactors (23)
- Artificial Intelligence (42)
- Big Data (24)
- Bioenergy (39)
- Biology (39)
- Biomedical (28)
- Biotechnology (10)
- Buildings (32)
- Chemical Sciences (38)
- Clean Water (14)
- Composites (18)
- Computer Science (96)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (27)
- Education (3)
- Element Discovery (1)
- Energy Storage (72)
- Environment (79)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Hydropower (6)
- Irradiation (2)
- ITER (5)
- Machine Learning (23)
- Materials (94)
- Mathematics (1)
- Mercury (5)
- Microscopy (27)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (21)
- Net Zero (4)
- Neutron Science (76)
- Partnerships (28)
- Physics (28)
- Quantum Computing (13)
- Quantum Science (36)
- Renewable Energy (1)
- Simulation (15)
- Space Exploration (13)
- Statistics (3)
- Summit (26)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (60)
Media Contacts
A first-ever dataset bridging molecular information about the poplar tree microbiome to ecosystem-level processes has been released by a team of DOE scientists led by ORNL. The project aims to inform research regarding how natural systems function, their vulnerability to a changing climate and ultimately how plants might be engineered for better performance as sources of bioenergy and natural carbon storage.
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.
Chuck Greenfield, former assistant director of the DIII-D National Fusion Program at General Atomics, has joined ORNL as ITER R&D Lead.
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.
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are using a new modeling framework in conjunction with data collected from marshes in the Mississippi Delta to improve predictions of climate-warming methane and nitrous oxide.
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.
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%.