Filter News
Area of Research
- (-) National Security (5)
- (-) Supercomputing (21)
- Biology and Environment (90)
- Biology and Soft Matter (1)
- Clean Energy (54)
- Climate and Environmental Systems (5)
- Computational Engineering (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Isotopes (1)
- Materials (15)
- Materials for Computing (1)
- Mathematics (1)
- Neutron Science (8)
- Nuclear Science and Technology (1)
News Topics
- (-) Environment (25)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Artificial Intelligence (45)
- Big Data (23)
- Bioenergy (11)
- Biology (14)
- Biomedical (17)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (20)
- Computer Science (104)
- Coronavirus (16)
- Critical Materials (3)
- Cybersecurity (23)
- Decarbonization (6)
- Energy Storage (9)
- Exascale Computing (24)
- Frontier (29)
- Fusion (2)
- Grid (11)
- High-Performance Computing (42)
- Isotopes (2)
- Machine Learning (23)
- Materials (18)
- Materials Science (18)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (36)
- Net Zero (1)
- Neutron Science (15)
- Nuclear Energy (8)
- Partnerships (5)
- Physics (9)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (15)
- Software (1)
- Space Exploration (3)
- Summit (43)
- Sustainable Energy (12)
- Transportation (8)
Media Contacts
OAK RIDGE, Tenn., May 5, 2020 — By 2050, the United States will likely be exposed to a larger number of extreme climate events, including more frequent heat waves, longer droughts and more intense floods, which can lead to greater risks for human health, ecosystem stability and regional economies.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
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.
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...