Filter News
Area of Research
- (-) Materials (25)
- (-) National Security (15)
- (-) Neutron Science (13)
- (-) Supercomputing (33)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (20)
- Clean Energy (39)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (3)
- Isotopes (4)
- Materials for Computing (5)
- Nuclear Science and Technology (2)
News Topics
- (-) Artificial Intelligence (26)
- (-) Biomedical (11)
- (-) Cybersecurity (8)
- (-) Grid (6)
- (-) Materials Science (23)
- (-) Transportation (8)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (1)
- Big Data (15)
- Bioenergy (8)
- Biology (8)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (7)
- Clean Water (3)
- Climate Change (15)
- Composites (2)
- Computer Science (52)
- Coronavirus (8)
- Decarbonization (6)
- Energy Storage (8)
- Environment (23)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (13)
- Fusion (2)
- High-Performance Computing (22)
- Isotopes (6)
- Machine Learning (15)
- Materials (25)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (10)
- National Security (23)
- Net Zero (1)
- Neutron Science (38)
- Nuclear Energy (12)
- Partnerships (3)
- Physics (13)
- Polymers (5)
- Quantum Computing (11)
- Quantum Science (11)
- Security (6)
- Simulation (10)
- Software (1)
- Space Exploration (3)
- Summit (21)
- Sustainable Energy (5)
- Transformational Challenge Reactor (2)
Media Contacts
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.
Though Nell Barber wasn’t sure what her future held after graduating with a bachelor’s degree in psychology, she now uses her interest in human behavior to design systems that leverage machine learning algorithms to identify faces in a crowd.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
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
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.