Filter News
Area of Research
News Type
News Topics
- (-) Artificial Intelligence (51)
- (-) Biomedical (32)
- (-) Energy Storage (30)
- (-) Nuclear Energy (56)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (8)
- Big Data (30)
- Bioenergy (51)
- Biology (61)
- Biotechnology (12)
- Buildings (23)
- Chemical Sciences (28)
- Clean Water (15)
- Climate Change (52)
- Composites (8)
- Computer Science (89)
- Coronavirus (17)
- Critical Materials (5)
- Cybersecurity (14)
- Decarbonization (47)
- Education (2)
- Emergency (2)
- Environment (105)
- Exascale Computing (31)
- Fossil Energy (4)
- Frontier (27)
- Fusion (31)
- Grid (26)
- High-Performance Computing (49)
- Hydropower (5)
- Isotopes (31)
- ITER (2)
- Machine Learning (23)
- Materials (46)
- Materials Science (49)
- Mathematics (7)
- Mercury (7)
- Microelectronics (3)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (47)
- Net Zero (8)
- Neutron Science (54)
- Partnerships (21)
- Physics (31)
- Polymers (8)
- Quantum Computing (23)
- Quantum Science (32)
- Renewable Energy (1)
- Security (12)
- Simulation (34)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (33)
- Sustainable Energy (48)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
Scientists at ORNL used neutrons to end a decades-long debate about an enzyme cancer uses.
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.
As a mechanical engineer in building envelope materials research at ORNL, Bryan Maldonado sees opportunities to apply his scientific expertise virtually everywhere he goes, from coast to coast. As an expert in understanding how complex systems operate, he’s using machine learning methods to control the process and ultimately optimize performance.
A research scientist with the Department of Energy’s Oak Ridge National Laboratory, Ayana Ghosh was named the 2024 Early Discovery Award winner by the American Ceramic Society. The award recognizes an early career member of the organization who has contributed to basic science in the field of glass and ceramics.
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.
Debjani Singh, a senior scientist at ORNL, leads the HydroSource project, which enhances hydropower research by making water data more accessible and useful. With a background in water resources, data science, and earth science, Singh applies innovative tools like AI to advance research. Her career, shaped by her early exposure to science in India, focuses on bridging research with practical applications.
At ORNL, a group of scientists used neutron scattering techniques to investigate a relatively new functional material called a Weyl semimetal. These Weyl fermions move very quickly in a material and can carry electrical charge at room temperature. Scientists think that Weyl semimetals, if used in future electronics, could allow electricity to flow more efficiently and enable more energy-efficient computers and other electronic devices.
Benjamin Manard, an analytical chemist in the Chemical Sciences Division of the Department of Energy’s Oak Ridge National Laboratory, will receive the 2024 Lester W. Strock Award from the Society of Applied Spectroscopy.
Two ORNL teams recently completed Cohort 18 of Energy I-Corps, an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.