Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (24)
- Building Technologies (2)
- Clean Energy (48)
- Climate and Environmental Systems (3)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (2)
- Fusion Energy (6)
- Materials (8)
- Materials for Computing (2)
- Mathematics (1)
- National Security (3)
- Neutron Science (2)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (7)
News Type
News Topics
- (-) Environment (45)
- (-) Grid (21)
- (-) ITER (3)
- (-) Machine Learning (12)
- (-) Molten Salt (5)
- (-) Nuclear Energy (19)
- (-) Sustainable Energy (45)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (13)
- Artificial Intelligence (14)
- Big Data (17)
- Bioenergy (16)
- Biology (18)
- Biomedical (11)
- Biotechnology (3)
- Buildings (20)
- Chemical Sciences (11)
- Clean Water (13)
- Climate Change (24)
- Composites (9)
- Computer Science (40)
- Coronavirus (11)
- Critical Materials (12)
- Cybersecurity (3)
- Decarbonization (11)
- Energy Storage (31)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- Fusion (9)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- Isotopes (5)
- Materials (35)
- Materials Science (34)
- Mathematics (2)
- Mercury (3)
- Microscopy (11)
- Nanotechnology (12)
- National Security (3)
- Net Zero (2)
- Neutron Science (27)
- Partnerships (1)
- Physics (4)
- Polymers (9)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Transportation (36)
Media Contacts
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.
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.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
Oak Ridge National Laboratory scientists studied hot springs on different continents and found similarities in how some microbes adapted despite their geographic diversity.
In the search for ways to fight methylmercury in global waterways, scientists at Oak Ridge National Laboratory discovered that some forms of phytoplankton are good at degrading the potent neurotoxin.
Oak Ridge National Laboratory researchers developed a model framework that identifies ways to ensure wildlife can safely navigate their habitats while not unduly affecting infrastructure.
ORNL researchers, in collaboration with Enginuity Power Systems, demonstrated that a micro combined heat and power prototype, or mCHP, with a piston engine can achieve an overall energy efficiency greater than 93%.
Oak Ridge National Laboratory scientists led the development of a supply chain model revealing the optimal places to site farms, biorefineries, pipelines and other infrastructure for sustainable aviation fuel production.
A new report published by ORNL assessed how advanced manufacturing and materials, such as 3D printing and novel component coatings, could offer solutions to modernize the existing fleet and design new approaches to hydropower.