Filter News
Area of Research
- (-) Building Technologies (2)
- (-) Computational Engineering (1)
- (-) Neutron Science (14)
- Advanced Manufacturing (7)
- Biology and Environment (48)
- Clean Energy (135)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (11)
- Fusion Energy (9)
- Materials (65)
- Materials for Computing (15)
- National Security (18)
- Nuclear Science and Technology (12)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Supercomputing (35)
- Transportation Systems (2)
News Topics
- (-) Advanced Reactors (1)
- (-) Machine Learning (4)
- (-) Microscopy (3)
- (-) Polymers (1)
- (-) Sustainable Energy (4)
- (-) Transportation (5)
- 3-D Printing/Advanced Manufacturing (7)
- Artificial Intelligence (7)
- Big Data (3)
- Bioenergy (6)
- Biology (5)
- Biomedical (12)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (2)
- Clean Water (3)
- Climate Change (2)
- Composites (1)
- Computer Science (17)
- Coronavirus (8)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (6)
- Environment (9)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (3)
- Materials (14)
- Materials Science (23)
- Mathematics (2)
- Nanotechnology (10)
- National Security (2)
- Neutron Science (99)
- Nuclear Energy (3)
- Physics (9)
- Quantum Computing (1)
- Quantum Science (7)
- Security (2)
- Space Exploration (3)
- Summit (7)
Media Contacts
Currently, the biggest hurdle for electric vehicles, or EVs, is the development of advanced battery technology to extend driving range, safety and reliability.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
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.
ORNL researchers, in collaboration with Enginuity Power Systems, demonstrated that a micro combined heat and power prototype, or mCHP, with a piston engine can achieve an overall energy efficiency greater than 93%.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
For a researcher who started out in mechanical engineering with a focus on engine combustion, Martin Wissink has learned a lot about neutrons on the job
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
The Department of Energy’s Office of Science has selected three Oak Ridge National Laboratory scientists for Early Career Research Program awards.