Filter News
Area of Research
News Topics
- (-) Critical Materials (15)
- (-) Machine Learning (14)
- 3-D Printing/Advanced Manufacturing (26)
- Advanced Reactors (5)
- Artificial Intelligence (38)
- Big Data (19)
- Bioenergy (18)
- Biology (14)
- Biomedical (22)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (32)
- Clean Water (3)
- Climate Change (21)
- Composites (9)
- Computer Science (98)
- Coronavirus (17)
- Cybersecurity (8)
- Decarbonization (11)
- Energy Storage (37)
- Environment (34)
- Exascale Computing (22)
- Frontier (28)
- Fusion (8)
- Grid (9)
- High-Performance Computing (40)
- Irradiation (1)
- Isotopes (13)
- ITER (1)
- Materials (79)
- Materials Science (83)
- Mathematics (1)
- Microscopy (29)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (8)
- Net Zero (2)
- Neutron Science (42)
- Nuclear Energy (20)
- Partnerships (11)
- Physics (34)
- Polymers (18)
- Quantum Computing (20)
- Quantum Science (32)
- Renewable Energy (1)
- Security (6)
- Simulation (14)
- Software (1)
- Space Exploration (5)
- Summit (42)
- Sustainable Energy (19)
- Transformational Challenge Reactor (3)
- Transportation (19)
Media Contacts
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
Researchers at Oak Ridge National Laboratory and Momentum Technologies have piloted an industrial-scale process for recycling valuable materials in the millions of tons of e-waste generated annually in the United States.
Researchers at Oak Ridge National Laboratory are using state-of-the-art methods to shed light on chemical separations needed to recover rare-earth elements and secure critical materials for clean energy technologies.
The Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory earned the top ranking today as the world’s fastest on the 59th TOP500 list, with 1.1 exaflops of performance. The system is the first to achieve an unprecedented level of computing performance known as exascale, a threshold of a quintillion calculations per second.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
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.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
A new technology for rare-earth elements chemical separation has been licensed to Marshallton Research Laboratories, a North Carolina-based manufacturer of organic chemicals for a range of industries.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.