Filter News
Area of Research
- Advanced Manufacturing (7)
- Biology and Environment (17)
- Clean Energy (60)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Isotope Development and Production (1)
- Isotopes (6)
- Materials (18)
- Materials for Computing (6)
- National Security (7)
- Neutron Science (9)
- Nuclear Science and Technology (8)
- Supercomputing (28)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (42)
- (-) Biomedical (27)
- (-) Grid (20)
- (-) Isotopes (12)
- (-) Quantum Computing (7)
- (-) Space Exploration (8)
- (-) Transportation (27)
- Advanced Reactors (18)
- Artificial Intelligence (23)
- Big Data (22)
- Bioenergy (33)
- Biology (34)
- Biotechnology (5)
- Buildings (17)
- Chemical Sciences (20)
- Clean Water (7)
- Climate Change (36)
- Composites (5)
- Computer Science (65)
- Coronavirus (32)
- Critical Materials (7)
- Cybersecurity (13)
- Decarbonization (22)
- Element Discovery (1)
- Energy Storage (47)
- Environment (69)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (11)
- Fusion (22)
- High-Performance Computing (19)
- Hydropower (8)
- Irradiation (1)
- ITER (2)
- Machine Learning (18)
- Materials (39)
- Materials Science (57)
- Mathematics (2)
- Mercury (3)
- Microscopy (22)
- Molten Salt (2)
- Nanotechnology (26)
- National Security (19)
- Net Zero (2)
- Neutron Science (44)
- Nuclear Energy (44)
- Partnerships (8)
- Physics (25)
- Polymers (12)
- Quantum Science (23)
- Security (7)
- Simulation (6)
- Summit (24)
- Sustainable Energy (49)
- Transformational Challenge Reactor (7)
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.
Using existing experimental and computational resources, a multi-institutional team has developed an effective method for measuring high-dimensional qudits encoded in quantum frequency combs, which are a type of photon source, on a single optical chip.
Tomás Rush began studying the mysteries of fungi in fifth grade and spent his college intern days tromping through forests, swamps and agricultural lands searching for signs of fungal plant pathogens causing disease on host plants.
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.
In human security research, Thomaz Carvalhaes says, there are typically two perspectives: technocentric and human centric. Rather than pick just one for his work, Carvalhaes uses data from both perspectives to understand how technology impacts the lives of people.
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.
Researchers at ORNL explored radium’s chemistry to advance cancer treatments using ionizing radiation.
When Bill Partridge started working with industry partner Cummins in 1997, he was a postdoctoral researcher specializing in applied optical diagnostics and new to Oak Ridge National Laboratory.
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.