Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (24)
- Clean Energy (42)
- Climate and Environmental Systems (2)
- Computational Engineering (1)
- Computer Science (9)
- Energy Frontier Research Centers (1)
- Fusion and Fission (5)
- Fusion Energy (9)
- Isotopes (1)
- Materials (42)
- National Security (9)
- Neutron Science (8)
- Nuclear Science and Technology (7)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (51)
- Transportation Systems (1)
News Topics
- (-) Advanced Reactors (11)
- (-) Climate Change (32)
- (-) Computer Science (72)
- (-) Fusion (18)
- (-) Microscopy (17)
- (-) Molten Salt (6)
- (-) Nanotechnology (22)
- (-) Security (12)
- (-) Transportation (37)
- 3-D Printing/Advanced Manufacturing (40)
- Artificial Intelligence (39)
- Big Data (18)
- Bioenergy (33)
- Biology (30)
- Biomedical (16)
- Biotechnology (7)
- Buildings (14)
- Chemical Sciences (24)
- Clean Water (11)
- Composites (11)
- Coronavirus (4)
- Critical Materials (7)
- Cybersecurity (17)
- Decarbonization (30)
- Education (3)
- Emergency (1)
- Energy Storage (31)
- Environment (65)
- Exascale Computing (17)
- Fossil Energy (2)
- Frontier (21)
- Grid (24)
- High-Performance Computing (33)
- Hydropower (3)
- Irradiation (2)
- Isotopes (18)
- Machine Learning (20)
- Materials (59)
- Materials Science (46)
- Mathematics (2)
- Mercury (4)
- Microelectronics (2)
- National Security (21)
- Net Zero (5)
- Neutron Science (58)
- Nuclear Energy (48)
- Partnerships (24)
- Physics (29)
- Polymers (11)
- Quantum Computing (12)
- Quantum Science (22)
- Renewable Energy (2)
- Simulation (29)
- Software (1)
- Space Exploration (10)
- Summit (20)
- Sustainable Energy (25)
Media Contacts
Wildfires are an ancient force shaping the environment, but they have grown in frequency, range and intensity in response to a changing climate. At ORNL, scientists are working on several fronts to better understand and predict these events and what they mean for the carbon cycle and biodiversity.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
Oak Ridge National Laboratory researchers used images from a photo-sharing website to identify crude oil train routes across the nation to provide data that could help transportation planners better understand regional impacts.
As extreme weather devastates communities worldwide, scientists are using modeling and simulation to understand how climate change impacts the frequency and intensity of these events. Although long-term climate projections and models are important, they are less helpful for short-term prediction of extreme weather that may rapidly displace thousands of people or require emergency aid.
Creating energy the way the sun and stars do — through nuclear fusion — is one of the grand challenges facing science and technology. What’s easy for the sun and its billions of relatives turns out to be particularly difficult on Earth.
A research team from the Department of Energy’s Oak Ridge and Lawrence Livermore national laboratories won the first Best Open-Source Contribution Award for its paper at the 37th IEEE International Parallel and Distributed Processing Symposium.
Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.
Working with Western Michigan University and other partners, ORNL engineers are placing low-powered sensors in the reflective raised pavement markers that are already used to help drivers identify lanes. Microchips inside the markers transmit information to passing cars about the road shape to help autonomous driving features function even when vehicle cameras or remote laser sensing, called LiDAR, are unreliable because of fog, snow, glare or other obstructions.
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
To support the development of a revolutionary new open fan engine architecture for the future of flight, GE Aerospace has run simulations using the world’s fastest supercomputer capable of crunching data in excess of exascale speed, or more than a quintillion calculations per second.