Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (40)
- Building Technologies (2)
- Clean Energy (51)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (10)
- Energy Sciences (1)
- Fusion and Fission (5)
- Fusion Energy (6)
- Materials (21)
- Materials for Computing (5)
- Mathematics (1)
- National Security (5)
- Neutron Science (1)
- Nuclear Science and Technology (2)
- Quantum information Science (3)
- Supercomputing (25)
News Type
News Topics
- (-) Climate Change (40)
- (-) Computer Science (53)
- (-) Exascale Computing (4)
- (-) Fusion (16)
- (-) Microscopy (20)
- (-) Polymers (14)
- (-) Sustainable Energy (59)
- 3-D Printing/Advanced Manufacturing (44)
- Advanced Reactors (15)
- Artificial Intelligence (20)
- Big Data (25)
- Bioenergy (33)
- Biology (40)
- Biomedical (22)
- Biotechnology (7)
- Buildings (30)
- Chemical Sciences (20)
- Clean Water (20)
- Composites (12)
- Coronavirus (17)
- Critical Materials (14)
- Cybersecurity (9)
- Decarbonization (27)
- Energy Storage (45)
- Environment (83)
- Fossil Energy (1)
- Frontier (4)
- Grid (28)
- High-Performance Computing (20)
- Hydropower (8)
- Irradiation (2)
- Isotopes (17)
- ITER (4)
- Machine Learning (19)
- Materials (43)
- Materials Science (47)
- Mathematics (7)
- Mercury (7)
- Molten Salt (5)
- Nanotechnology (18)
- National Security (19)
- Net Zero (4)
- Neutron Science (36)
- Nuclear Energy (34)
- Partnerships (2)
- Physics (20)
- Quantum Computing (5)
- Quantum Science (12)
- Security (7)
- Simulation (12)
- Space Exploration (10)
- Statistics (1)
- Summit (8)
- Transportation (48)
Media Contacts
Daryl Yang is coupling his science and engineering expertise to devise new ways to measure significant changes going on in the Arctic, a region that’s warming nearly four times faster than other parts of the planet. The remote sensing technologies and modeling tools he develops and leverages for the Next-Generation Ecosystem Experiments in the Arctic project, or NGEE Arctic, help improve models of the ecosystem to better inform decision-making as the landscape changes.
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.
Debjani Singh, a senior scientist at ORNL, leads the HydroSource project, which enhances hydropower research by making water data more accessible and useful. With a background in water resources, data science, and earth science, Singh applies innovative tools like AI to advance research. Her career, shaped by her early exposure to science in India, focuses on bridging research with practical applications.
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.
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.
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.
Oak Ridge National Laboratory scientists ingeniously created a sustainable, soft material by combining rubber with woody reinforcements and incorporating “smart” linkages between the components that unlock on demand.
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.