Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (40)
- Clean Energy (129)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (64)
- Materials for Computing (15)
- National Security (37)
- Neutron Science (20)
- Nuclear Science and Technology (6)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (60)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (102)
- (-) Biotechnology (24)
- (-) Cybersecurity (35)
- (-) Grid (67)
- (-) Machine Learning (51)
- (-) Microscopy (51)
- (-) Polymers (33)
- (-) Space Exploration (25)
- (-) Transportation (99)
- 3-D Printing/Advanced Manufacturing (128)
- Advanced Reactors (35)
- Big Data (62)
- Bioenergy (92)
- Biology (101)
- Biomedical (61)
- Buildings (67)
- Chemical Sciences (73)
- Clean Water (31)
- Climate Change (106)
- Composites (30)
- Computer Science (199)
- Coronavirus (46)
- Critical Materials (29)
- Decarbonization (85)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (201)
- Exascale Computing (44)
- Fossil Energy (6)
- Frontier (46)
- Fusion (59)
- High-Performance Computing (94)
- Hydropower (11)
- Irradiation (3)
- Isotopes (57)
- ITER (7)
- Materials (149)
- Materials Science (149)
- Mathematics (10)
- Mercury (12)
- Microelectronics (4)
- Molten Salt (9)
- Nanotechnology (60)
- National Security (73)
- Net Zero (14)
- Neutron Science (139)
- Nuclear Energy (111)
- Partnerships (51)
- Physics (64)
- Quantum Computing (38)
- Quantum Science (72)
- Renewable Energy (2)
- Security (26)
- Simulation (53)
- Software (1)
- Statistics (3)
- Summit (61)
- Sustainable Energy (130)
- Transformational Challenge Reactor (7)
Media Contacts
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.
Bill Partridge, a recently retired distinguished researcher at the U.S. Department of Energy’s Oak Ridge National Laboratory, was recognized by DOE’s Vehicle Technologies Office, or VTO, for leading world-class research in transportation throughout his 25-year career.
Researchers at ORNL have successfully demonstrated the first 270-kW wireless power transfer to a light-duty electric vehicle. The demonstration used a Porsche Taycan and was conducted in collaboration with Volkswagen Group of America using the ORNL-developed polyphase wireless charging system.
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 ORNL and the University of Maine have designed and 3D-printed a single-piece, recyclable natural-material floor panel tested to be strong enough to replace construction materials like steel.
Prasanna Balaprakash, a national leader in artificial intelligence, or AI, spoke to some of the highest achieving students in the country at the National Science Bowl in Washington D.C.
ORNL researchers and communications specialists took part in the inaugural AI Expo for National Competitiveness in Washington D.C, May 7 and 8, to showcase and provide insight into how the lab is leading the way for utilizing the vast possibilities of AI.
Jinghui Yuan, an R&D staff member in the Applied Research for Mobility Systems group at the Department of Energy’s Oak Ridge National Laboratory, has been elevated to a senior member of the Institute of Electrical and Electronics Engineers.
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.