Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (21)
- Clean Energy (16)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Materials (7)
- Materials for Computing (2)
- National Security (2)
- Neutron Science (7)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (21)
News Topics
- (-) Artificial Intelligence (8)
- (-) Bioenergy (15)
- (-) Computer Science (30)
- (-) Cybersecurity (1)
- (-) Environment (32)
- (-) Exascale Computing (4)
- (-) Grid (2)
- (-) ITER (1)
- (-) Machine Learning (1)
- (-) Mercury (4)
- (-) Nuclear Energy (9)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (2)
- Big Data (5)
- Biology (15)
- Biomedical (8)
- Biotechnology (4)
- Buildings (2)
- Chemical Sciences (2)
- Clean Water (5)
- Climate Change (3)
- Coronavirus (2)
- Decarbonization (3)
- Energy Storage (9)
- Frontier (1)
- Fusion (2)
- High-Performance Computing (9)
- Isotopes (6)
- Materials (4)
- Materials Science (9)
- Microscopy (4)
- Nanotechnology (4)
- National Security (4)
- Neutron Science (10)
- Physics (4)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (6)
- Space Exploration (2)
- Summit (8)
- Sustainable Energy (8)
- Transportation (9)
Media Contacts
Oak Ridge National Laboratory experts are playing leading roles in the recently established Department of Energy’s (DOE’s) Exascale Computing Project (ECP), a multi-lab initiative responsible for developing the strategy, aligning the resources, and conducting the R&D necessary to achieve the nation’s imperative of delivering exascale computing by 2021.
It’s been 10 years since the Department of Energy first established a BioEnergy Science Center (BESC) at Oak Ridge National Laboratory, and researcher Gerald “Jerry” Tuskan has used that time and the lab’s and center’s resources and tools to make good on his college dreams of usi...
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