Filter News
Area of Research
- (-) Building Technologies (2)
- (-) Computer Science (10)
- (-) Neutron Science (13)
- (-) Quantum information Science (4)
- Advanced Manufacturing (6)
- Biology and Environment (55)
- Biology and Soft Matter (1)
- Clean Energy (120)
- Computational Biology (1)
- Computational Engineering (1)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (12)
- Fusion Energy (2)
- Isotopes (25)
- Materials (83)
- Materials for Computing (14)
- National Security (38)
- Nuclear Science and Technology (7)
- Sensors and Controls (2)
- Supercomputing (58)
News Topics
- (-) Artificial Intelligence (12)
- (-) Chemical Sciences (2)
- (-) Cybersecurity (3)
- (-) Grid (3)
- (-) Microscopy (5)
- (-) Security (2)
- (-) Sustainable Energy (6)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (1)
- Big Data (6)
- Bioenergy (7)
- Biology (5)
- Biomedical (11)
- Biotechnology (1)
- Buildings (3)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Computer Science (30)
- Coronavirus (8)
- Decarbonization (2)
- Energy Storage (8)
- Environment (9)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (4)
- Machine Learning (6)
- Materials (14)
- Materials Science (24)
- Mathematics (1)
- Nanotechnology (11)
- National Security (2)
- Neutron Science (99)
- Nuclear Energy (3)
- Physics (10)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (16)
- Space Exploration (3)
- Summit (7)
- Transportation (5)
Media Contacts
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
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.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
Scientists at ORNL and the University of Nebraska have developed an easier way to generate electrons for nanoscale imaging and sensing, providing a useful new tool for material science, bioimaging and fundamental quantum research.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Research by an international team led by Duke University and the Department of Energy’s Oak Ridge National Laboratory scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample. This novel technique can confirm structural features in starch, a carbohydrate important in biofuel production.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.