Filter News
Area of Research
- (-) Supercomputing (14)
- Biological Systems (1)
- Biology and Environment (17)
- Clean Energy (16)
- Computational Biology (1)
- Computational Engineering (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (8)
- Materials (18)
- Materials for Computing (6)
- National Security (3)
- Neutron Science (11)
- Nuclear Science and Technology (10)
News Topics
- (-) Biomedical (12)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (5)
- Artificial Intelligence (33)
- Big Data (15)
- Bioenergy (9)
- Biology (10)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (4)
- Climate Change (15)
- Computer Science (76)
- Coronavirus (12)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (6)
- Environment (16)
- Exascale Computing (21)
- Frontier (26)
- Grid (4)
- High-Performance Computing (33)
- Isotopes (2)
- Machine Learning (12)
- Materials (12)
- Materials Science (14)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (3)
- Partnerships (1)
- Physics (8)
- Quantum Computing (15)
- Quantum Science (20)
- Security (5)
- Simulation (12)
- Software (1)
- Summit (36)
- Sustainable Energy (8)
- Transportation (5)
Media Contacts
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
A team led by Dan Jacobson of Oak Ridge National Laboratory used the Summit supercomputer at ORNL to analyze genes from cells in the lung fluid of nine COVID-19 patients compared with 40 control patients.
A team of researchers has performed the first room-temperature X-ray measurements on the SARS-CoV-2 main protease — the enzyme that enables the virus to reproduce.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.