Filter News
Area of Research
- Advanced Manufacturing (1)
- Clean Energy (25)
- Climate and Environmental Systems (2)
- Computational Engineering (1)
- Computer Science (8)
- Materials (31)
- National Security (3)
- Neutron Science (9)
- Nuclear Science and Technology (5)
- Quantum information Science (3)
- Supercomputing (32)
- Transportation Systems (1)
News Topics
- (-) Climate Change (1)
- (-) Computer Science (49)
- (-) Energy Storage (10)
- (-) Exascale Computing (2)
- (-) Frontier (2)
- (-) Isotopes (7)
- (-) Microscopy (10)
- (-) Physics (15)
- (-) Quantum Science (13)
- (-) Space Exploration (6)
- (-) Transportation (19)
- 3-D Printing/Advanced Manufacturing (20)
- Advanced Reactors (8)
- Artificial Intelligence (13)
- Big Data (8)
- Bioenergy (11)
- Biology (1)
- Biomedical (9)
- Biotechnology (1)
- Clean Water (6)
- Composites (5)
- Critical Materials (1)
- Cybersecurity (8)
- Environment (22)
- Fusion (9)
- Grid (8)
- Machine Learning (5)
- Materials Science (30)
- Mercury (2)
- Molten Salt (5)
- Nanotechnology (15)
- Neutron Science (26)
- Nuclear Energy (27)
- Polymers (7)
- Security (9)
- Summit (11)
- Sustainable Energy (8)
Media Contacts
OAK RIDGE, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s Oak Ridge National Laboratory Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.
Vera Bocharova at the Department of Energy’s Oak Ridge National Laboratory investigates the structure and dynamics of soft materials—polymer nanocomposites, polymer electrolytes and biological macromolecules—to advance materials and technologies for energy, medicine and other applications.
The use of lithium-ion batteries has surged in recent years, starting with electronics and expanding into many applications, including the growing electric and hybrid vehicle industry. But the technologies to optimize recycling of these batteries have not kept pace.
More than 1800 years ago, Chinese astronomers puzzled over the sudden appearance of a bright “guest star” in the sky, unaware that they were witnessing the cosmic forge of a supernova, an event repeated countless times scattered across the universe.
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
A University of South Carolina research team is investigating the oxygen reduction performance of energy conversion materials called perovskites by using neutron diffraction at Oak Ridge National Laboratory’s Spallation Neutron Source.
Oak Ridge National Laboratory geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.
OAK RIDGE, Tenn., Jan. 31, 2019—A new electron microscopy technique that detects the subtle changes in the weight of proteins at the nanoscale—while keeping the sample intact—could open a new pathway for deeper, more comprehensive studies of the basic building blocks of life.