Filter News
Area of Research
News Topics
- (-) Computer Science (6)
- (-) Environment (3)
- (-) Machine Learning (2)
- (-) Quantum Science (4)
- 3-D Printing/Advanced Manufacturing (2)
- Artificial Intelligence (3)
- Big Data (1)
- Bioenergy (3)
- Biology (4)
- Biomedical (4)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (1)
- Climate Change (3)
- Composites (2)
- Coronavirus (3)
- Critical Materials (3)
- Decarbonization (2)
- Energy Storage (1)
- Exascale Computing (2)
- Frontier (3)
- High-Performance Computing (5)
- Isotopes (2)
- Materials (14)
- Materials Science (4)
- Microscopy (3)
- Nanotechnology (4)
- National Security (1)
- Neutron Science (2)
- Physics (1)
- Polymers (1)
- Quantum Computing (5)
- Simulation (4)
- Summit (5)
- Sustainable Energy (1)
Media Contacts
The U.S. Departments of Energy and Defense teamed up to create a series of weld filler materials that could dramatically improve high-strength steel repair in vehicles, bridges and pipelines.
Oak Ridge National Laboratory researchers serendipitously discovered when they automated the beam of an electron microscope to precisely drill holes in the atomically thin lattice of graphene, the drilled holes closed up.
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.
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.
Five National Quantum Information Science Research Centers are leveraging the behavior of nature at the smallest scales to develop technologies for science’s most complex problems.
Travis Humble has been named director of the Quantum Science Center headquartered at ORNL. The QSC is a multi-institutional partnership that spans industry, academia and government institutions and is tasked with uncovering the full potential of quantum materials, sensors and algorithms.
Researchers at ORNL are tackling a global water challenge with a unique material designed to target not one, but two toxic, heavy metal pollutants for simultaneous removal.
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.
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.