Filter News
Area of Research
- (-) Clean Energy (44)
- (-) Materials (66)
- (-) National Security (12)
- Advanced Manufacturing (3)
- Biology and Environment (12)
- Computer Science (2)
- Fusion and Fission (6)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials Characterization (1)
- Materials for Computing (6)
- Materials Under Extremes (1)
- Neutron Science (23)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
- Supercomputing (21)
News Type
News Topics
- (-) Cybersecurity (11)
- (-) Decarbonization (11)
- (-) Materials Science (39)
- (-) Microscopy (12)
- (-) Physics (14)
- (-) Sustainable Energy (25)
- (-) Transformational Challenge Reactor (3)
- 3-D Printing/Advanced Manufacturing (34)
- Advanced Reactors (4)
- Artificial Intelligence (11)
- Big Data (1)
- Bioenergy (18)
- Biology (7)
- Biomedical (4)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (20)
- Clean Water (1)
- Climate Change (8)
- Composites (6)
- Computer Science (19)
- Coronavirus (4)
- Critical Materials (10)
- Energy Storage (36)
- Environment (18)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (2)
- Fusion (3)
- Grid (10)
- High-Performance Computing (5)
- Isotopes (5)
- ITER (1)
- Machine Learning (8)
- Materials (44)
- Mercury (1)
- Molten Salt (2)
- Nanotechnology (22)
- National Security (12)
- Net Zero (1)
- Neutron Science (24)
- Nuclear Energy (6)
- Partnerships (14)
- Polymers (9)
- Quantum Computing (1)
- Quantum Science (10)
- Renewable Energy (1)
- Security (6)
- Simulation (1)
- Summit (3)
- Transportation (19)
Media Contacts
ORNL and Caterpillar Inc. have entered into a cooperative research and development agreement, or CRADA, to investigate using methanol as an alternative fuel source for four-stroke internal combustion marine engines.
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.
As vehicles gain technological capabilities, car manufacturers are using an increasing number of computers and sensors to improve situational awareness and enhance the driving experience.
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.
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.
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.
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.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.