Filter News
Area of Research
- Advanced Manufacturing (5)
- Biology and Environment (14)
- Building Technologies (1)
- Clean Energy (47)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (12)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (6)
- Isotopes (2)
- Materials (19)
- Materials for Computing (4)
- Mathematics (1)
- National Security (6)
- Neutron Science (6)
- Nuclear Science and Technology (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (26)
News Type
News Topics
- (-) Artificial Intelligence (21)
- (-) Big Data (20)
- (-) Clean Water (13)
- (-) Composites (13)
- (-) Computer Science (56)
- (-) Grid (24)
- (-) Machine Learning (12)
- (-) Nuclear Energy (35)
- (-) Quantum Science (14)
- 3-D Printing/Advanced Manufacturing (49)
- Advanced Reactors (18)
- Bioenergy (21)
- Biology (24)
- Biomedical (15)
- Biotechnology (3)
- Buildings (25)
- Chemical Sciences (22)
- Climate Change (29)
- Coronavirus (15)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (12)
- Energy Storage (47)
- Environment (58)
- Exascale Computing (4)
- Frontier (4)
- Fusion (17)
- High-Performance Computing (23)
- Hydropower (6)
- Irradiation (3)
- Isotopes (13)
- ITER (4)
- Materials (68)
- Materials Science (53)
- Mathematics (1)
- Mercury (3)
- Microscopy (20)
- Molten Salt (6)
- Nanotechnology (24)
- National Security (10)
- Net Zero (2)
- Neutron Science (41)
- Partnerships (7)
- Physics (10)
- Polymers (14)
- Quantum Computing (6)
- Security (4)
- Simulation (12)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Summit (8)
- Sustainable Energy (54)
- Transformational Challenge Reactor (1)
- Transportation (46)
Media Contacts
An Oak Ridge National Laboratory team revealed how chemical species form in a highly reactive molten salt mixture of aluminum chloride and potassium chloride by unraveling vibrational signatures and observing ion exchanges.
Anuj J. Kapadia, who leads the Advanced Computing in Health Sciences Section at the Department of Energy’s Oak Ridge National Laboratory, was named a 2024 Fellow by the American Association of Physicists in Medicine.
Phani Ratna Vanamali Marthi, an R&D associate in the Power Systems Resilience group at ORNL, has been elevated to the grade of senior member of the Institute of Electrical and Electronics Engineers, the world’s largest technical professional organization
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
ORNL has named W. David Pointer, director of the Nuclear Energy and Fuel Cycle Division in ORNL’s Fusion and Fission Energy and Science Directorate. As director, Pointer will lead a world-class team of ORNL research professionals focused on addressing the challenges and opportunities presented by current and future nuclear energy systems.
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
Forrest Hoffman, a distinguished scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a senior member of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
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.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.