Filter News
Area of Research
- (-) Biological Systems (1)
- (-) Supercomputing (22)
- Biology and Environment (26)
- Clean Energy (33)
- Computational Biology (1)
- Computational Engineering (1)
- Fusion and Fission (7)
- Fusion Energy (1)
- Isotopes (4)
- Materials (36)
- Materials for Computing (1)
- National Security (5)
- Neutron Science (18)
- Nuclear Science and Technology (9)
News Topics
- (-) Biomedical (13)
- (-) Buildings (3)
- (-) Physics (7)
- 3-D Printing/Advanced Manufacturing (5)
- Artificial Intelligence (33)
- Big Data (14)
- Bioenergy (10)
- Biology (10)
- Biotechnology (2)
- Chemical Sciences (4)
- Climate Change (15)
- Computer Science (76)
- Coronavirus (12)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (6)
- Environment (16)
- Exascale Computing (19)
- Frontier (25)
- Grid (4)
- High-Performance Computing (31)
- Isotopes (1)
- 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)
- Quantum Computing (15)
- Quantum Science (20)
- Security (5)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Summit (35)
- 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.
A trio of new and improved cosmological simulation codes was unveiled in a series of presentations at the annual April Meeting of the American Physical Society in Minneapolis.
Two years after ORNL provided a model of nearly every building in America, commercial partners are using the tool for tasks ranging from designing energy-efficient buildings and cities to linking energy efficiency to real estate value and risk.
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.
Every day, hundreds of thousands of commuters across the country travel from houses, apartments and other residential spaces to commercial buildings — from offices and schools to gyms and grocery stores.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
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.