Filter News
Area of Research
- Advanced Manufacturing (20)
- Biology and Environment (36)
- Building Technologies (3)
- Clean Energy (146)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Energy Sciences (2)
- Fusion and Fission (4)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (11)
- Materials (75)
- Materials for Computing (11)
- National Security (19)
- Neutron Science (30)
- Nuclear Science and Technology (10)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (45)
- Transportation Systems (2)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (75)
- (-) Big Data (24)
- (-) Biomedical (28)
- (-) Composites (18)
- (-) Coronavirus (28)
- (-) Cybersecurity (20)
- (-) Energy Storage (72)
- (-) Grid (35)
- (-) Isotopes (22)
- (-) Physics (28)
- (-) Quantum Computing (13)
- (-) Space Exploration (13)
- (-) Sustainable Energy (75)
- (-) Transportation (60)
- Advanced Reactors (23)
- Artificial Intelligence (42)
- Bioenergy (39)
- Biology (39)
- Biotechnology (10)
- Buildings (32)
- Chemical Sciences (38)
- Clean Water (14)
- Climate Change (44)
- Computer Science (96)
- Critical Materials (23)
- Decarbonization (27)
- Education (3)
- Element Discovery (1)
- Environment (79)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Fusion (23)
- High-Performance Computing (37)
- Hydropower (6)
- Irradiation (2)
- ITER (5)
- Machine Learning (23)
- Materials (94)
- Materials Science (83)
- Mathematics (1)
- Mercury (5)
- Microelectronics (1)
- Microscopy (27)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (21)
- Net Zero (4)
- Neutron Science (76)
- Nuclear Energy (45)
- Partnerships (28)
- Polymers (21)
- Quantum Science (36)
- Renewable Energy (1)
- Security (12)
- Simulation (15)
- Statistics (3)
- Summit (26)
- Transformational Challenge Reactor (4)
Media Contacts
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine
Technologies developed by researchers at ORNL have received six 2023 R&D 100 Awards.
Timothy Gray of ORNL led a study that may have revealed an unexpected change in the shape of an atomic nucleus. The surprise finding could affect our understanding of what holds nuclei together, how protons and neutrons interact and how elements form.
Seven entrepreneurs will embark on a two-year fellowship as the seventh cohort of Innovation Crossroads kicks off this month at ORNL. Representing a range of transformative energy technologies, Cohort 7 is a diverse class of innovators with promising new companies.
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.
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.
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.