Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (48)
- Clean Energy (82)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Fusion and Fission (6)
- Fusion Energy (7)
- Isotopes (6)
- Materials (26)
- Materials for Computing (7)
- Mathematics (1)
- National Security (7)
- Neutron Science (13)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Renewable Energy (1)
- Supercomputing (24)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (26)
- (-) Biomedical (39)
- (-) Climate Change (62)
- (-) Coronavirus (34)
- (-) Hydropower (8)
- (-) Molten Salt (8)
- (-) Transportation (73)
- 3-D Printing/Advanced Manufacturing (89)
- Artificial Intelligence (54)
- Big Data (32)
- Bioenergy (56)
- Biology (62)
- Biotechnology (15)
- Buildings (45)
- Chemical Sciences (52)
- Clean Water (22)
- Composites (23)
- Computer Science (114)
- Critical Materials (25)
- Cybersecurity (26)
- Decarbonization (47)
- Education (3)
- Element Discovery (1)
- Energy Storage (88)
- Environment (119)
- Exascale Computing (14)
- Fossil Energy (2)
- Frontier (19)
- Fusion (33)
- Grid (44)
- High-Performance Computing (50)
- Irradiation (2)
- Isotopes (35)
- ITER (6)
- Machine Learning (32)
- Materials (103)
- Materials Science (100)
- Mathematics (7)
- Mercury (9)
- Microelectronics (1)
- Microscopy (36)
- Nanotechnology (44)
- National Security (37)
- Net Zero (7)
- Neutron Science (87)
- Nuclear Energy (61)
- Partnerships (31)
- Physics (44)
- Polymers (26)
- Quantum Computing (16)
- Quantum Science (40)
- Renewable Energy (1)
- Security (19)
- Simulation (21)
- Space Exploration (13)
- Statistics (2)
- Summit (29)
- Sustainable Energy (89)
- Transformational Challenge Reactor (4)
Media Contacts
A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.
Daryl Yang is coupling his science and engineering expertise to devise new ways to measure significant changes going on in the Arctic, a region that’s warming nearly four times faster than other parts of the planet. The remote sensing technologies and modeling tools he develops and leverages for the Next-Generation Ecosystem Experiments in the Arctic project, or NGEE Arctic, help improve models of the ecosystem to better inform decision-making as the landscape changes.
After retiring from Y-12, Scott Abston joined the Isotope Science and Engineering Directorate to support isotope production and work with his former manager. He now leads a team maintaining critical equipment for medical and space applications. Abston finds fulfillment in mentoring his team and is pleased with his decision to continue working.
Scientists using high-resolution aerial scans and computational modeling concluded that wildfires, storms and selective logging have become key drivers behind rainforest carbon emissions, outpacing clear-cutting practices.
ORNL has partnered with Western Michigan University to advance intelligent road infrastructure through the development of new chip-enabled raised pavement markers. These innovative markers transmit lane-keeping information to passing vehicles, enhancing safety and enabling smarter driving in all weather conditions.
Researchers for the first time documented the specific chemistry dynamics and structure of high-temperature liquid uranium trichloride salt, a potential nuclear fuel source for next-generation reactors.
Jeremiah Sewell leads a team at ORNL, working on xenon-129 production for lung imaging. Reflecting on his career, Sewell views each opportunity as a "door" he steps through, leveraging over 25 years of experience in nuclear power and centrifuge operations to advance the facility’s mission.
Researchers at ORNL have demonstrated that small molecular tweaks to surfaces can improve absorption technology for direct air capture of carbon dioxide. The team added a charged polymer layer to an amino acid solution, and then, through spectroscopy and simulation, found that the charged layer can hold amino acids at its surface.
Brian Sanders is focused on impactful, multidisciplinary science at Oak Ridge National Laboratory, developing solutions for everything from improved imaging of plant-microbe interactions that influence ecosystem health to advancing new treatments for cancer and viral infections.
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.