Filter News
Area of Research
- (-) National Security (10)
- (-) Supercomputing (19)
- Biology and Environment (12)
- Clean Energy (14)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (1)
- Fusion Energy (4)
- Materials (6)
- Neutron Science (3)
- Nuclear Science and Technology (5)
- Nuclear Systems Modeling, Simulation and Validation (1)
News Type
News Topics
- (-) Big Data (10)
- (-) Grid (4)
- (-) Machine Learning (7)
- (-) Polymers (1)
- (-) Summit (13)
- 3-D Printing/Advanced Manufacturing (2)
- Artificial Intelligence (9)
- Bioenergy (3)
- Biology (5)
- Biomedical (9)
- Biotechnology (1)
- Buildings (1)
- Climate Change (6)
- Computer Science (30)
- Coronavirus (9)
- Critical Materials (1)
- Cybersecurity (3)
- Decarbonization (1)
- Energy Storage (1)
- Environment (4)
- Exascale Computing (4)
- Frontier (4)
- Fusion (1)
- High-Performance Computing (7)
- Materials (4)
- Materials Science (8)
- Mathematics (1)
- Microscopy (1)
- Nanotechnology (3)
- National Security (7)
- Neutron Science (5)
- Physics (1)
- Quantum Computing (5)
- Quantum Science (7)
- Security (4)
- Simulation (4)
- Sustainable Energy (3)
Media Contacts
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
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.
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.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.