Filter News
Area of Research
News Topics
- (-) Climate Change (8)
- (-) Fusion (1)
- (-) Grid (8)
- (-) Machine Learning (5)
- (-) Nanotechnology (3)
- (-) Quantum Science (4)
- (-) Space Exploration (1)
- (-) Transportation (9)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Artificial Intelligence (8)
- Big Data (3)
- Bioenergy (5)
- Biology (6)
- Biomedical (4)
- Buildings (13)
- Chemical Sciences (4)
- Clean Water (1)
- Composites (2)
- Computer Science (11)
- Coronavirus (5)
- Critical Materials (2)
- Cybersecurity (3)
- Decarbonization (13)
- Energy Storage (16)
- Environment (9)
- Exascale Computing (6)
- Fossil Energy (1)
- Frontier (7)
- High-Performance Computing (8)
- Hydropower (1)
- Materials (14)
- Materials Science (8)
- Microscopy (4)
- National Security (4)
- Net Zero (1)
- Neutron Science (1)
- Nuclear Energy (2)
- Partnerships (5)
- Physics (1)
- Polymers (2)
- Quantum Computing (7)
- Security (2)
- Simulation (5)
- Summit (7)
- Sustainable Energy (12)
- Transformational Challenge Reactor (1)
Media Contacts
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.