Filter News
Area of Research
News Topics
- (-) Big Data (5)
- (-) Composites (2)
- (-) Materials Science (18)
- (-) Microscopy (6)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (1)
- Artificial Intelligence (10)
- Bioenergy (5)
- Biology (3)
- Biomedical (4)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (7)
- Clean Water (2)
- Climate Change (4)
- Computer Science (16)
- Coronavirus (2)
- Cybersecurity (8)
- Decarbonization (3)
- Energy Storage (6)
- Environment (9)
- Exascale Computing (1)
- Fusion (2)
- Grid (5)
- High-Performance Computing (4)
- Isotopes (6)
- Machine Learning (9)
- Materials (22)
- Mathematics (1)
- Nanotechnology (8)
- National Security (23)
- Neutron Science (12)
- Nuclear Energy (11)
- Partnerships (4)
- Physics (11)
- Polymers (4)
- Quantum Computing (1)
- Quantum Science (1)
- Security (5)
- Simulation (1)
- Space Exploration (1)
- Summit (2)
- Sustainable Energy (3)
- Transformational Challenge Reactor (2)
- Transportation (4)
Media Contacts
Scientists at ORNL have developed 3-D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
Speakers, scientific workshops, speed networking, a student poster showcase and more energized the Annual User Meeting of the Department of Energy’s Center for Nanophase Materials Sciences, or CNMS, Aug. 7-10, near Market Square in downtown Knoxville, Tennessee.
A scientific instrument at ORNL could help create a noninvasive cancer treatment derived from a common tropical plant.
Larry Allard, a distinguished research staff member at Oak Ridge National Laboratory, has been named a Fellow of the Microanalysis Society.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant