Filter News
Area of Research
News Type
News Topics
- (-) Bioenergy (5)
- (-) Clean Water (1)
- (-) Machine Learning (4)
- (-) Summit (5)
- 3-D Printing/Advanced Manufacturing (5)
- Artificial Intelligence (4)
- Big Data (2)
- Biology (5)
- Biomedical (3)
- Biotechnology (1)
- Buildings (9)
- Climate Change (10)
- Composites (2)
- Computer Science (9)
- Coronavirus (4)
- Critical Materials (1)
- Cybersecurity (3)
- Decarbonization (9)
- Energy Storage (5)
- Environment (8)
- Exascale Computing (2)
- Frontier (3)
- Grid (4)
- High-Performance Computing (6)
- Hydropower (1)
- Materials (6)
- Materials Science (3)
- Microscopy (2)
- Nanotechnology (2)
- National Security (7)
- Net Zero (1)
- Neutron Science (1)
- Partnerships (1)
- Polymers (1)
- Quantum Computing (5)
- Quantum Science (3)
- Security (2)
- Simulation (4)
- Sustainable Energy (7)
- Transportation (5)
Media Contacts
The presence of minerals called ash in plants makes little difference to the fitness of new naturally derived compound materials designed for additive manufacturing, an Oak Ridge National Laboratory-led team found.
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
A new paper published in Nature Communications adds further evidence to the bradykinin storm theory of COVID-19’s viral pathogenesis — a theory that was posited two years ago by a team of researchers at the Department of Energy’s Oak Ridge National Laboratory.
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
What’s getting Jim Szybist fired up these days? It’s the opportunity to apply his years of alternative fuel combustion and thermodynamics research to the challenge of cleaning up the hard-to-decarbonize, heavy-duty mobility sector — from airplanes to locomotives to ships and massive farm combines.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.