Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (57)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (53)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (15)
- Fusion and Fission (9)
- Fusion Energy (8)
- Isotopes (2)
- Materials (52)
- Materials for Computing (7)
- Mathematics (1)
- National Security (34)
- Neutron Science (24)
- Nuclear Science and Technology (15)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (6)
- Supercomputing (109)
News Topics
- (-) Advanced Reactors (34)
- (-) Climate Change (99)
- (-) Computer Science (188)
- (-) Cybersecurity (35)
- (-) Physics (61)
- 3-D Printing/Advanced Manufacturing (122)
- Artificial Intelligence (91)
- Big Data (53)
- Bioenergy (92)
- Biology (99)
- Biomedical (58)
- Biotechnology (22)
- Buildings (57)
- Chemical Sciences (65)
- Clean Water (29)
- Composites (26)
- Coronavirus (46)
- Critical Materials (26)
- Decarbonization (80)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (109)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (6)
- Frontier (42)
- Fusion (54)
- Grid (62)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (53)
- ITER (7)
- Machine Learning (48)
- Materials (144)
- Materials Science (141)
- Mathematics (8)
- Mercury (12)
- Microelectronics (3)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (62)
- Net Zero (14)
- Neutron Science (131)
- Nuclear Energy (109)
- Partnerships (44)
- Polymers (33)
- Quantum Computing (34)
- Quantum Science (69)
- Renewable Energy (2)
- Security (24)
- Simulation (47)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (57)
- Sustainable Energy (126)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
ORNL helps develop hybrid computational strategy for efficient sequencing of massive genome datasets
Computing experts at the Department of Energy’s Oak Ridge National Laboratory collaborated with a team of university researchers and software companies to develop a novel hybrid computational strategy to efficiently discover genetic variants
The Department of Energy’s Oak Ridge National Laboratory has received funding from DOE’s Exascale Computing Project (ECP) to develop applications for future exascale systems that will be 50 to 100 times more powerful than today’s fastest supercomputers.
Scientists of the Next-Generation Ecosystem Experiments are blogging from the Arctic this summer. Follow their adventures at http://ngee-arctic.blogspot.com/. Participants share troubles and triumphs from the field in entries with headings like "Flying Wild Alaska" and "Hitting the Tundra." "The b...