Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (21)
- Clean Energy (22)
- Computational Engineering (1)
- Computer Science (2)
- Fusion and Fission (1)
- Isotopes (3)
- Materials (15)
- Materials for Computing (3)
- National Security (19)
- Neutron Science (10)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Supercomputing (35)
News Type
News Topics
- (-) Artificial Intelligence (30)
- (-) Biomedical (25)
- (-) Clean Water (7)
- (-) Composites (11)
- (-) Cybersecurity (23)
- (-) Quantum Computing (10)
- (-) Summit (22)
- 3-D Printing/Advanced Manufacturing (55)
- Advanced Reactors (12)
- Big Data (12)
- Bioenergy (40)
- Biology (42)
- Biotechnology (10)
- Buildings (21)
- Chemical Sciences (34)
- Climate Change (35)
- Computer Science (68)
- Coronavirus (23)
- Critical Materials (11)
- Decarbonization (31)
- Education (3)
- Element Discovery (1)
- Energy Storage (54)
- Environment (70)
- Exascale Computing (11)
- Fossil Energy (1)
- Frontier (16)
- Fusion (20)
- Grid (22)
- High-Performance Computing (33)
- Hydropower (2)
- Isotopes (24)
- ITER (3)
- Machine Learning (16)
- Materials (64)
- Materials Science (61)
- Mathematics (3)
- Mercury (6)
- Microscopy (25)
- Molten Salt (2)
- Nanotechnology (32)
- National Security (30)
- Net Zero (5)
- Neutron Science (57)
- Nuclear Energy (38)
- Partnerships (25)
- Physics (40)
- Polymers (17)
- Quantum Science (29)
- Renewable Energy (1)
- Security (16)
- Simulation (12)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (44)
- Transformational Challenge Reactor (4)
- Transportation (37)
Media Contacts
In partnership with the National Cancer Institute, researchers from ORNL and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.
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.
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
In a win for chemistry, inventors at ORNL have designed a closed-loop path for synthesizing an exceptionally tough carbon-fiber-reinforced polymer, or CFRP, and later recovering all of its starting materials.
EPB, ORNL announce plans for research collaborative focused on energy resilience, quantum technology
EPB and ORNL marked 10 years of collaboration with the announcement of the new Collaborative for Energy Resilience and Quantum Science. The new joint research effort will focus on utilizing Chattanooga’s highly advanced and integrated energy and communications infrastructure to develop technologies and best practices for enhancing the resilience and security of the national power grid while accelerating the commercialization of quantum technologies.
Gina Tourassi, associate laboratory director for computing and computational sciences at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory, has been named a fellow of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
Louise Stevenson uses her expertise as an environmental toxicologist to evaluate the effects of stressors such as chemicals and other contaminants on aquatic systems.
Corning uses neutron scattering to study the stability of different types of glass. Recently, researchers for the company have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.