Filter News
Area of Research
- (-) Fusion and Fission (4)
- (-) Supercomputing (32)
- Biological Systems (1)
- Biology and Environment (78)
- Biology and Soft Matter (1)
- Clean Energy (44)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Isotopes (3)
- Materials (14)
- Materials for Computing (3)
- National Security (6)
- Neutron Science (10)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
News Topics
- (-) Bioenergy (4)
- (-) Biomedical (7)
- (-) Energy Storage (2)
- (-) Environment (14)
- (-) Frontier (14)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (2)
- Artificial Intelligence (21)
- Big Data (13)
- Biology (6)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (3)
- Climate Change (12)
- Composites (1)
- Computer Science (45)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (4)
- Exascale Computing (13)
- Fusion (12)
- Grid (2)
- High-Performance Computing (21)
- ITER (2)
- Machine Learning (7)
- Materials (4)
- Materials Science (8)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (5)
- National Security (3)
- Net Zero (2)
- Neutron Science (6)
- Nuclear Energy (19)
- Partnerships (1)
- Physics (4)
- Quantum Computing (10)
- Quantum Science (10)
- Security (1)
- Simulation (12)
- Software (1)
- Space Exploration (1)
- Summit (21)
- Sustainable Energy (5)
- Transportation (4)
Media Contacts
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.
As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...