![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
News Topics
- (-) Isotopes (54)
- (-) National Security (68)
- 3-D Printing/Advanced Manufacturing (125)
- Advanced Reactors (34)
- Artificial Intelligence (95)
- Big Data (58)
- Bioenergy (92)
- Biology (100)
- Biomedical (59)
- Biotechnology (23)
- Buildings (59)
- Chemical Sciences (69)
- Clean Water (30)
- Climate Change (103)
- Composites (29)
- Computer Science (194)
- Coronavirus (46)
- Critical Materials (29)
- Cybersecurity (35)
- Decarbonization (81)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (111)
- Environment (198)
- Exascale Computing (39)
- Fossil Energy (6)
- Frontier (44)
- Fusion (55)
- Grid (65)
- High-Performance Computing (88)
- Hydropower (11)
- Irradiation (3)
- ITER (7)
- Machine Learning (48)
- Materials (145)
- Materials Science (144)
- Mathematics (9)
- Mercury (12)
- Microelectronics (4)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- Net Zero (14)
- Neutron Science (133)
- Nuclear Energy (110)
- Partnerships (49)
- Physics (63)
- Polymers (33)
- Quantum Computing (35)
- Quantum Science (70)
- Renewable Energy (2)
- Security (24)
- Simulation (49)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (59)
- Sustainable Energy (129)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
![woman in blue blazer, glasses and short hair smiles for a portrait.](/sites/default/files/styles/list_page_thumbnail/public/2024-06/laetitia%20delmau.jpg?h=8f0b2d98&itok=EijwYL5O)
Lætitia H. Delmau, a distinguished researcher and radiochemist at Oak Ridge National Laboratory, has received the 2024 Glenn T. Seaborg Actinide Separations Award.
![Frankie White, male in a black suite with a white shirt, is standing crossing his arms.](/sites/default/files/styles/list_page_thumbnail/public/2024-06/frankie%20white.jpg?h=8f9cfe54&itok=hjnARKSO)
Early career scientist Frankie White's was part of two major isotope projects at the same time he was preparing to be a father. As co-lead on a team that achieved the first synthesis and characterization of a radium compound using single crystal X-ray diffraction and part of a team that characterized the properties of promethium, White reflects on the life-changing timeline at work, and at home.
![People in a large convention room networking before a presentation](/sites/default/files/styles/list_page_thumbnail/public/2024-05/20240529_125451.jpg?h=19f14c2c&itok=SP4cISML)
Vanderbilt University and ORNL announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.
![Photo of glowing, pink diamond-shaped figure. This is illuminated with light, encircled with a wreath of around 70 blue tube-like shapes.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/2024-G00597_SecondaryCoverConcept_v02%20%281%29.png?h=d1cb525d&itok=I6rhD1uM)
Scientists have uncovered the properties of a rare earth element that was first discovered 80 years ago at the very same laboratory, opening a new pathway for the exploration of elements critical in modern technology, from medicine to space travel.
![From left, Clarice Phelps, Jimmie Selph and Rich Franco are ORNL personnel who teach classes in the Chemical Radiation Technology Pathway program at Pellissippi State Community College.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/2024-P06806.jpg?h=036a71b7&itok=nHzGUT9C)
Students from the first class of ORNL and Pellissippi State Community College's joint Chemical Radiation Technology Pathway toured isotope facilities at ORNL.
![Caption: Participants gather for a group photo after discussing securing AI systems for critical national security data and applications. Photo by Liz Neunsinger/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Picture1.jpg?h=1758acef&itok=hu9V4GaE)
Researchers at the Department of Energy’s Oak Ridge National Laboratory met recently at an AI Summit to better understand threats surrounding artificial intelligence. The event was part of ORNL’s mission to shape the future of safe and secure AI systems charged with our nation’s most precious data.
![This dataset, showing electricity outages from 2014-22 in the 50 U.S. states, Washington D.C. and Puerto Rico, details outages at 15-minute intervals for up to 92% of customers for the eight-year period.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Mapper_Radar_20220929_1000.jpg?h=252b3bba&itok=L96QFTQW)
ORNL researchers have produced the most comprehensive power outage dataset ever compiled for the United States. This dataset, showing electricity outages from 2014-22 in the 50 U.S. states, Washington D.C. and Puerto Rico, details outages at 15-minute intervals for up to 92% of customers for the eight-year period.
![From left, J.D. Rice, Trevor Michelson and Chris Seck look at a monitor in Seck’s lab. The three are wearing safety glasses to protect against the laser beams used by the scanning vibrometer, which is helping Seck quantify vibration of an appliance in his lab. Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/02-09-24%20Vibrometer%20Meas.jpg?h=d06c0bb9&itok=BaIHxm7O)
ORNL scientists are working on a project to engineer and develop a cryogenic ion trap apparatus to simulate quantum spin liquids, a key research area in materials science and neutron scattering studies.
![Mohamad Zineddin](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Dr%20Z.png?h=2a35d14f&itok=2ZMLdTMr)
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
![Joon-Seok Kim Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/joon-seok.jpg?h=d9b3a08b&itok=qiPgBrWQ)
Researchers at ORNL are using a machine-learning model to answer ‘what if’ questions stemming from major events that impact large numbers of people. By simulating an event, such as extreme weather, researchers can see how people might respond to adverse situations, and those outcomes can be used to improve emergency planning.