Filter News
Area of Research
- (-) Clean Energy (94)
- (-) National Security (13)
- (-) Nuclear Science and Technology (6)
- Advanced Manufacturing (4)
- Biology and Environment (41)
- Climate and Environmental Systems (4)
- Computational Engineering (1)
- Computer Science (2)
- Fusion and Fission (3)
- Isotope Development and Production (1)
- Isotopes (10)
- Materials (54)
- Materials for Computing (13)
- Mathematics (1)
- Neutron Science (13)
- Quantum information Science (2)
- Supercomputing (24)
- Transportation Systems (2)
News Type
News Topics
- (-) Composites (14)
- (-) Cybersecurity (11)
- (-) Environment (30)
- (-) Isotopes (4)
- (-) Microscopy (6)
- (-) Net Zero (2)
- (-) Polymers (10)
- (-) Space Exploration (5)
- (-) Transportation (45)
- 3-D Printing/Advanced Manufacturing (53)
- Advanced Reactors (9)
- Artificial Intelligence (10)
- Big Data (4)
- Bioenergy (17)
- Biology (8)
- Biomedical (6)
- Biotechnology (3)
- Buildings (21)
- Chemical Sciences (11)
- Clean Water (5)
- Climate Change (13)
- Computer Science (27)
- Coronavirus (7)
- Critical Materials (8)
- Decarbonization (14)
- Energy Storage (47)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (1)
- Fusion (4)
- Grid (25)
- High-Performance Computing (4)
- Hydropower (2)
- Machine Learning (9)
- Materials (29)
- Materials Science (22)
- Mathematics (1)
- Mercury (2)
- Molten Salt (4)
- Nanotechnology (6)
- National Security (12)
- Neutron Science (12)
- Nuclear Energy (21)
- Partnerships (11)
- Physics (3)
- Quantum Science (1)
- Renewable Energy (1)
- Security (7)
- Simulation (2)
- Statistics (1)
- Summit (3)
- Sustainable Energy (51)
- Transformational Challenge Reactor (3)
Media Contacts
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
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.
Used lithium-ion batteries from cell phones, laptops and a growing number of electric vehicles are piling up, but options for recycling them remain limited mostly to burning or chemically dissolving shredded batteries.
ORNL researchers determined that a connected and automated vehicle, or CAV, traveling on a multilane highway with integrated traffic light timing control can maximize energy efficiency and achieve up to 27% savings.
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.
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.