Filter News
Area of Research
- Advanced Manufacturing (13)
- Biology and Environment (22)
- Building Technologies (2)
- Clean Energy (65)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (12)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (1)
- Fusion Energy (3)
- Isotopes (2)
- Materials (20)
- Materials for Computing (6)
- Mathematics (1)
- National Security (4)
- Neutron Science (4)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (28)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (50)
- (-) Big Data (22)
- (-) Climate Change (32)
- (-) Computer Science (57)
- (-) Grid (25)
- (-) Machine Learning (14)
- (-) Quantum Science (14)
- Advanced Reactors (18)
- Artificial Intelligence (23)
- Bioenergy (22)
- Biology (25)
- Biomedical (15)
- Biotechnology (3)
- Buildings (29)
- Chemical Sciences (26)
- Clean Water (13)
- Composites (13)
- Coronavirus (15)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (15)
- Energy Storage (48)
- Environment (60)
- Exascale Computing (4)
- Fossil Energy (1)
- Frontier (4)
- Fusion (18)
- High-Performance Computing (23)
- Hydropower (6)
- Irradiation (3)
- Isotopes (15)
- ITER (4)
- Materials (68)
- Materials Science (54)
- Mathematics (2)
- Mercury (3)
- Microscopy (20)
- Molten Salt (6)
- Nanotechnology (24)
- National Security (12)
- Net Zero (3)
- Neutron Science (42)
- Nuclear Energy (36)
- Partnerships (8)
- Physics (10)
- Polymers (14)
- Quantum Computing (6)
- Security (4)
- Simulation (12)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Summit (8)
- Sustainable Energy (56)
- Transformational Challenge Reactor (1)
- Transportation (49)
Media Contacts
Scientists using high-resolution aerial scans and computational modeling concluded that wildfires, storms and selective logging have become key drivers behind rainforest carbon emissions, outpacing clear-cutting practices.
ORNL’s Joshua New was named the 2024 Researcher of the Year by R&D World magazine as part of its R&D 100 Professional Award winners.
A digital construction platform in development at Oak Ridge National Laboratory is boosting the retrofitting of building envelopes and giving builders the tools to automate the process from design to installation with the assistance of a cable-driven robotic crane.
Researchers at ORNL have demonstrated that small molecular tweaks to surfaces can improve absorption technology for direct air capture of carbon dioxide. The team added a charged polymer layer to an amino acid solution, and then, through spectroscopy and simulation, found that the charged layer can hold amino acids at its surface.
Two additive manufacturing researchers from ORNL received prestigious awards from national organizations. Amy Elliott and Nadim Hmeidat, who both work in the Manufacturing Science Division, were recognized recently for their early career accomplishments.
Researchers at Oak Ridge National Laboratory have opened a new virtual library where visitors can check out waveforms instead of books. So far, more than 350 users worldwide have utilized the library, which provides vital understanding of an increasingly complex grid.
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.
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
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.