Filter News
Area of Research
- (-) National Security (17)
- (-) Supercomputing (50)
- Advanced Manufacturing (10)
- Biology and Environment (45)
- Biology and Soft Matter (1)
- Clean Energy (74)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (5)
- Electricity and Smart Grid (2)
- Fusion and Fission (19)
- Fusion Energy (12)
- Isotopes (5)
- Materials (84)
- Materials for Computing (17)
- Mathematics (1)
- Neutron Science (22)
- Nuclear Science and Technology (27)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (2)
- Sensors and Controls (1)
- Transportation Systems (1)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Big Data (20)
- (-) Climate Change (17)
- (-) Exascale Computing (13)
- (-) Grid (6)
- (-) Materials (6)
- (-) Materials Science (10)
- (-) Nanotechnology (6)
- (-) Nuclear Energy (4)
- (-) Physics (3)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (26)
- Bioenergy (4)
- Biology (9)
- Biomedical (11)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (2)
- Computer Science (66)
- Coronavirus (11)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (4)
- Energy Storage (3)
- Environment (20)
- Frontier (14)
- Fusion (1)
- High-Performance Computing (25)
- Machine Learning (14)
- Mathematics (1)
- Microscopy (2)
- National Security (23)
- Net Zero (1)
- Neutron Science (7)
- Polymers (2)
- Quantum Computing (14)
- Quantum Science (14)
- Security (7)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Summit (27)
- Sustainable Energy (5)
- Transportation (5)
Media Contacts
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
Gang Seob “GS” Jung has known from the time he was in middle school that he was interested in science.
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 multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
When Matt McCarthy saw an opportunity for a young career scientist to influence public policy, he eagerly raised his hand.
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.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.