Filter News
Area of Research
News Topics
- (-) Big Data (21)
- (-) Decarbonization (43)
- (-) Grid (23)
- 3-D Printing/Advanced Manufacturing (35)
- Advanced Reactors (8)
- Artificial Intelligence (44)
- Bioenergy (48)
- Biology (56)
- Biomedical (28)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Climate Change (46)
- Composites (5)
- Computer Science (80)
- Coronavirus (17)
- Critical Materials (1)
- Cybersecurity (14)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Exascale Computing (24)
- Fossil Energy (4)
- Frontier (23)
- Fusion (28)
- High-Performance Computing (42)
- Hydropower (5)
- Isotopes (25)
- ITER (2)
- Machine Learning (21)
- Materials (39)
- Materials Science (41)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (33)
- Net Zero (8)
- Neutron Science (46)
- Nuclear Energy (52)
- Partnerships (14)
- Physics (26)
- Polymers (7)
- Quantum Computing (17)
- Quantum Science (27)
- Renewable Energy (1)
- Security (10)
- Simulation (29)
- Software (1)
- Space Exploration (12)
- Summit (30)
- Sustainable Energy (42)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
Students with a focus on building science will spend 10 weeks this summer interning at ORNL, the National Renewable Energy Laboratory and Pacific Northwest Laboratory as winners of the DOE’s Office of Energy Efficiency and Renewable Energy’s Building Technologies Office sixth annual JUMP into STEM finals competition.
A modeling analysis led by ORNL gives the first detailed look at how geothermal energy can relieve the electric power system and reduce carbon emissions if widely implemented across the United States within the next few decades.
Scientists at ORNL are looking for a happy medium to enable the grid of the future, filling a gap between high and low voltages for power electronics technology that underpins the modern U.S. electric grid.
The 2023 top science achievements from HFIR and SNS feature a broad range of materials research published in high impact journals such as Nature and Advanced Materials.
A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules.
Scientists from more than a dozen institutions have completed a first-of-its-kind high-resolution assessment of carbon dioxide removal potential in the United States, charting a path to achieve a net-zero greenhouse gas economy by 2050.
Lee's paper at the August conference in Bellevue, Washington, combined weather and power outage data for three states – Texas, Michigan and Hawaii – and used a machine learning model to predict how extreme weather such as thunderstorms, floods and tornadoes would affect local power grids and to estimate the risk for outages. The paper relied on data from the National Weather Service and the U.S. Department of Energy’s Environment for Analysis of Geo-Located Energy Information, or EAGLE-I, database.
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
ORNL's Climate Change Science Institute and the Georgia Institute of Technology hosted a Southeast Decarbonization Workshop in November that drew scientists and representatives from government, industry, non-profits and other organizations to
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.