Filter News
Area of Research
- (-) National Security (46)
- Advanced Manufacturing (9)
- Biology and Environment (72)
- Biology and Soft Matter (1)
- Clean Energy (119)
- Climate and Environmental Systems (2)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (33)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (6)
- Materials (151)
- Materials Characterization (1)
- Materials for Computing (21)
- Materials Under Extremes (1)
- Mathematics (1)
- Neutron Science (108)
- Nuclear Science and Technology (40)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (107)
- Transportation Systems (1)
News Topics
- (-) Advanced Reactors (1)
- (-) Big Data (6)
- (-) Climate Change (5)
- (-) Cybersecurity (19)
- (-) Grid (6)
- (-) Machine Learning (12)
- (-) Materials Science (3)
- (-) Nanotechnology (1)
- (-) Neutron Science (4)
- (-) Nuclear Energy (5)
- (-) Physics (1)
- (-) Summit (2)
- 3-D Printing/Advanced Manufacturing (2)
- Artificial Intelligence (12)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Computer Science (19)
- Coronavirus (2)
- Decarbonization (2)
- Energy Storage (2)
- Environment (5)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (4)
- Materials (2)
- National Security (35)
- Partnerships (5)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Sustainable Energy (3)
- Transportation (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.
When Matt McCarthy saw an opportunity for a young career scientist to influence public policy, he eagerly raised his hand.
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.
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
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.
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.
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