Filter News
Area of Research
- (-) Computer Science (6)
- (-) Neutron Science (5)
- Advanced Manufacturing (1)
- Biology and Environment (12)
- Clean Energy (36)
- Computational Biology (1)
- Computational Engineering (1)
- Electricity and Smart Grid (2)
- Fusion and Fission (15)
- Fusion Energy (11)
- Materials (10)
- Materials for Computing (3)
- National Security (15)
- Nuclear Science and Technology (12)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (17)
News Topics
- (-) Coronavirus (3)
- (-) Grid (2)
- (-) Machine Learning (6)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (9)
- Big Data (4)
- Bioenergy (3)
- Biology (1)
- Biomedical (7)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (2)
- Computer Science (18)
- Decarbonization (1)
- Energy Storage (5)
- Environment (5)
- Fossil Energy (1)
- High-Performance Computing (2)
- Materials (8)
- Materials Science (10)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (56)
- Nuclear Energy (2)
- Physics (2)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (3)
- Security (1)
- Space Exploration (2)
- Summit (2)
- Sustainable Energy (2)
- Transportation (2)
Media Contacts
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
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
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.
COVID-19 has upended nearly every aspect of our daily lives and forced us all to rethink how we can continue our work in a more physically isolated world.
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.
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.
ORNL computer scientist Catherine Schuman returned to her alma mater, Harriman High School, to lead Hour of Code activities and talk to students about her job as a researcher.
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool