Filter News
Area of Research
- Advanced Manufacturing (18)
- Biology and Environment (25)
- Building Technologies (2)
- Clean Energy (123)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (12)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (10)
- Materials (50)
- Materials for Computing (13)
- Mathematics (1)
- National Security (19)
- Neutron Science (20)
- Nuclear Science and Technology (9)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (58)
- Transportation Systems (2)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (75)
- (-) Biomedical (28)
- (-) Computer Science (96)
- (-) Cybersecurity (20)
- (-) Fossil Energy (1)
- (-) Grid (35)
- (-) Isotopes (23)
- (-) Polymers (21)
- (-) Space Exploration (13)
- (-) Transportation (60)
- Advanced Reactors (23)
- Artificial Intelligence (42)
- Big Data (24)
- Bioenergy (39)
- Biology (39)
- Biotechnology (10)
- Buildings (32)
- Chemical Sciences (38)
- Clean Water (14)
- Climate Change (44)
- Composites (18)
- Coronavirus (28)
- Critical Materials (23)
- Decarbonization (27)
- Education (3)
- Element Discovery (1)
- Energy Storage (72)
- Environment (79)
- Exascale Computing (10)
- 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)
- Physics (28)
- Quantum Computing (13)
- Quantum Science (36)
- Renewable Energy (1)
- Security (12)
- Simulation (15)
- Statistics (3)
- Summit (26)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
Media Contacts
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
Oak Ridge National Laboratory researchers have conducted a comprehensive life cycle, cost and carbon emissions analysis on 3D-printed molds for precast concrete and determined the method is economically beneficial compared to conventional wood molds.
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.
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.
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.