Filter News
Area of Research
- (-) Clean Energy (130)
- Advanced Manufacturing (22)
- Biology and Environment (29)
- Building Technologies (1)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (13)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (67)
- Materials for Computing (10)
- National Security (34)
- Neutron Science (15)
- Nuclear Science and Technology (13)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (35)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (78)
- (-) Cybersecurity (8)
- (-) Grid (40)
- (-) Isotopes (1)
- (-) Machine Learning (7)
- (-) Microscopy (8)
- (-) Space Exploration (3)
- Advanced Reactors (6)
- Artificial Intelligence (8)
- Big Data (5)
- Bioenergy (26)
- Biology (11)
- Biomedical (6)
- Biotechnology (4)
- Buildings (36)
- Chemical Sciences (14)
- Clean Water (8)
- Climate Change (21)
- Composites (17)
- Computer Science (25)
- Coronavirus (12)
- Critical Materials (9)
- Decarbonization (33)
- Energy Storage (72)
- Environment (54)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (2)
- Fusion (1)
- High-Performance Computing (6)
- Hydropower (2)
- Materials (35)
- Materials Science (26)
- Mathematics (2)
- Mercury (3)
- Microelectronics (1)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (5)
- Net Zero (3)
- Neutron Science (11)
- Nuclear Energy (7)
- Partnerships (12)
- Physics (1)
- Polymers (11)
- Quantum Science (2)
- Renewable Energy (1)
- Security (6)
- Simulation (4)
- Statistics (1)
- Summit (4)
- Sustainable Energy (69)
- Transformational Challenge Reactor (3)
- Transportation (65)
Media Contacts
A new deep-learning framework developed at ORNL is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results. The reduced costs for time, labor, maintenance and energy are expected to accelerate expansion of additive manufacturing, or 3D printing.
Researchers at ORNL have developed an online tool that offers industrial plants an easier way to track and download information about their energy footprint and carbon emissions.
Researchers at ORNL recently demonstrated a new technology to better control how power flows to and from commercial buildings equipped with solar, wind or other renewable energy generation.
A crowd of investors and supporters turned out for last week’s Innovation Crossroads Showcase at the Knoxville Chamber as part of Innov865 Week. Sponsored by ORNL and the Tennessee Advanced Energy Business Council, the event celebrated deep-tech entrepreneurs and the Oak Ridge Corridor as a growing energy innovation hub for the nation.
When Hurricane Maria battered Puerto Rico in 2017, winds snapped trees and destroyed homes, while heavy rains transformed streets into rivers. But after the storm passed, the human toll continued to grow as residents struggled without electricity for months. Five years later, power outages remain long and frequent.
Five technologies invented by scientists at the Department of Energy’s Oak Ridge National Laboratory have been selected for targeted investment through ORNL’s Technology Innovation Program.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
As climate change leads to larger and more frequent wildfires, researchers at ORNL are using sensors, drones and machine learning to both prevent fires and reduce their damage to the electric grid.
To further the potential benefits of the nation’s hydropower resources, researchers at Oak Ridge National Laboratory have developed and maintain a comprehensive water energy digital platform called HydroSource.
When Andrew Sutton arrived at ORNL in late 2020, he knew the move would be significant in more ways than just a change in location.