Filter News
Area of Research
- Advanced Manufacturing (7)
- Biology and Environment (13)
- Building Technologies (2)
- Clean Energy (46)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (3)
- Fusion Energy (6)
- Materials (27)
- Materials for Computing (7)
- Mathematics (1)
- National Security (2)
- Neutron Science (5)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (4)
- Transportation Systems (1)
News Type
News Topics
- (-) Artificial Intelligence (14)
- (-) Chemical Sciences (11)
- (-) Clean Water (13)
- (-) Fusion (9)
- (-) Grid (21)
- (-) Machine Learning (12)
- (-) Materials Science (34)
- (-) Microscopy (11)
- (-) Molten Salt (5)
- (-) Sustainable Energy (45)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (13)
- Big Data (17)
- Bioenergy (16)
- Biology (18)
- Biomedical (11)
- Biotechnology (3)
- Buildings (20)
- Climate Change (24)
- Composites (9)
- Computer Science (40)
- Coronavirus (11)
- Critical Materials (12)
- Cybersecurity (3)
- Decarbonization (11)
- Energy Storage (31)
- Environment (45)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- Isotopes (5)
- ITER (3)
- Materials (35)
- Mathematics (2)
- Mercury (3)
- Nanotechnology (12)
- National Security (3)
- Net Zero (2)
- Neutron Science (27)
- Nuclear Energy (19)
- Partnerships (1)
- Physics (4)
- Polymers (9)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Transportation (36)
Media Contacts
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
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 scientists led the development of a supply chain model revealing the optimal places to site farms, biorefineries, pipelines and other infrastructure for sustainable aviation fuel production.
ORNL scientists combined two ligands, or metal-binding molecules, to target light and heavy lanthanides simultaneously for exceptionally efficient separation.
A new report published by ORNL assessed how advanced manufacturing and materials, such as 3D printing and novel component coatings, could offer solutions to modernize the existing fleet and design new approaches to hydropower.
ORNL researchers have identified specific proteins and amino acids that could control bioenergy plants’ ability to identify beneficial microbes that can enhance plant growth and storage of carbon in soils.
ORNL researchers Ben Ollis and Max Ferrari will be in Adjuntas to join the March 18 festivities but also to hammer out more technical details of their contribution to the project: making the microgrids even more reliable.
A DNA editing tool adapted by Oak Ridge National Laboratory scientists makes engineering microbes for everything from bioenergy production to plastics recycling easier and faster.
Warming a crystal of the mineral fresnoite, ORNL scientists discovered that excitations called phasons carried heat three times farther and faster than phonons, the excitations that usually carry heat through a material.