Filter News
Area of Research
- (-) Clean Energy (63)
- (-) Supercomputing (66)
- Advanced Manufacturing (3)
- Biology and Environment (31)
- Building Technologies (3)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (28)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (62)
- Materials for Computing (8)
- National Security (20)
- Neutron Science (21)
- Nuclear Science and Technology (36)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
News Topics
- (-) Buildings (37)
- (-) Machine Learning (19)
- (-) Mercury (3)
- (-) Nanotechnology (15)
- (-) Nuclear Energy (11)
- (-) Summit (43)
- 3-D Printing/Advanced Manufacturing (80)
- Advanced Reactors (7)
- Artificial Intelligence (41)
- Big Data (24)
- Bioenergy (29)
- Biology (19)
- Biomedical (22)
- Biotechnology (6)
- Chemical Sciences (16)
- Clean Water (8)
- Climate Change (35)
- Composites (17)
- Computer Science (107)
- Coronavirus (25)
- Critical Materials (12)
- Cybersecurity (14)
- Decarbonization (35)
- Energy Storage (75)
- Environment (68)
- Exascale Computing (23)
- Fossil Energy (2)
- Frontier (28)
- Fusion (2)
- Grid (42)
- High-Performance Computing (39)
- Hydropower (2)
- Isotopes (1)
- Materials (45)
- Materials Science (40)
- Mathematics (3)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (1)
- National Security (11)
- Net Zero (4)
- Neutron Science (20)
- Partnerships (12)
- Physics (7)
- Polymers (13)
- Quantum Computing (19)
- Quantum Science (25)
- Renewable Energy (1)
- Security (9)
- Simulation (16)
- Software (1)
- Space Exploration (6)
- Statistics (1)
- Sustainable Energy (71)
- Transformational Challenge Reactor (3)
- Transportation (69)
Media Contacts
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
Every day, hundreds of thousands of commuters across the country travel from houses, apartments and other residential spaces to commercial buildings — from offices and schools to gyms and grocery stores.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
ORNL and the Tennessee Valley Authority, or TVA, are joining forces to advance decarbonization technologies from discovery through deployment through a new memorandum of understanding, or MOU.
The American Society of Heating, Refrigeration and Air-Conditioning Engineers, or ASHRAE, selected Oak Ridge National Laboratory’s Brian Fricke as one of 25 members elevated to fellow grade during its 2022 winter conference.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.