Filter News
Area of Research
- (-) Computer Science (12)
- (-) National Security (15)
- (-) Nuclear Science and Technology (30)
- Advanced Manufacturing (14)
- Biological Systems (1)
- Biology and Environment (25)
- Building Technologies (2)
- Clean Energy (72)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Fusion and Fission (18)
- Fusion Energy (10)
- Isotopes (21)
- Materials (64)
- Materials for Computing (13)
- Mathematics (1)
- Neutron Science (62)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Supercomputing (69)
- Transportation Systems (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Biomedical (2)
- (-) Computer Science (23)
- (-) Isotopes (3)
- (-) Materials Science (4)
- (-) Molten Salt (4)
- (-) Neutron Science (5)
- (-) Nuclear Energy (28)
- (-) Space Exploration (3)
- Advanced Reactors (8)
- Artificial Intelligence (10)
- Big Data (9)
- Bioenergy (2)
- Biology (3)
- Biotechnology (1)
- Buildings (2)
- Climate Change (4)
- Coronavirus (3)
- Cybersecurity (9)
- Decarbonization (2)
- Energy Storage (1)
- Environment (5)
- Fusion (7)
- Grid (6)
- High-Performance Computing (4)
- Machine Learning (12)
- Materials (1)
- Nanotechnology (1)
- National Security (23)
- Partnerships (1)
- Physics (1)
- Quantum Science (2)
- Security (6)
- Simulation (1)
- Summit (2)
- Sustainable Energy (3)
- Transformational Challenge Reactor (2)
- Transportation (1)
Media Contacts
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
JungHyun Bae is a nuclear scientist studying applications of particles that have some beneficial properties: They are everywhere, they are unlimited, they are safe.
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.
Stephen Dahunsi’s desire to see more countries safely deploy nuclear energy is personal. Growing up in Nigeria, he routinely witnessed prolonged electricity blackouts as a result of unreliable energy supplies. It’s a problem he hopes future generations won’t have to experience.
Cameras see the world differently than humans. Resolution, equipment, lighting, distance and atmospheric conditions can impact how a person interprets objects on a photo.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.