Balaprakash chosen for Tennessee’s new AI advisory council
Filter News
Area of Research
- Biology and Environment (15)
- Clean Energy (36)
- Climate and Environmental Systems (2)
- Fusion and Fission (2)
- Fusion Energy (4)
- Materials (9)
- Materials for Computing (2)
- National Security (2)
- Neutron Science (11)
- Nuclear Science and Technology (9)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (22)
News Topics
- (-) Advanced Reactors (14)
- (-) Bioenergy (12)
- (-) Coronavirus (23)
- (-) Decarbonization (1)
- (-) Environment (29)
- (-) Frontier (1)
- (-) Mathematics (2)
- (-) Molten Salt (2)
- (-) Summit (17)
- 3-D Printing/Advanced Manufacturing (28)
- Artificial Intelligence (8)
- Big Data (11)
- Biology (5)
- Biomedical (21)
- Biotechnology (2)
- Buildings (1)
- Chemical Sciences (5)
- Clean Water (2)
- Climate Change (10)
- Composites (1)
- Computer Science (39)
- Critical Materials (2)
- Cybersecurity (4)
- Energy Storage (21)
- Exascale Computing (3)
- Fusion (13)
- Grid (7)
- High-Performance Computing (3)
- Isotopes (8)
- Machine Learning (8)
- Materials (2)
- Materials Science (37)
- Mercury (1)
- Microscopy (8)
- Nanotechnology (17)
- National Security (2)
- Neutron Science (30)
- Nuclear Energy (31)
- Physics (13)
- Polymers (7)
- Quantum Science (14)
- Security (3)
- Space Exploration (2)
- Sustainable Energy (24)
- Transformational Challenge Reactor (5)
- Transportation (15)
Media Contacts
An international team of researchers has discovered the hydrogen atoms in a metal hydride material are much more tightly spaced than had been predicted for decades — a feature that could possibly facilitate superconductivity at or near room temperature and pressure.
Nuclear scientists at Oak Ridge National Laboratory have established a Nuclear Quality Assurance-1 program for a software product designed to simulate today’s commercial nuclear reactors – removing a significant barrier for industry adoption of the technology.
Researchers across the scientific spectrum crave data, as it is essential to understanding the natural world and, by extension, accelerating scientific progress.