Filter News
Area of Research
News Topics
- (-) Composites (2)
- (-) Machine Learning (2)
- (-) Polymers (1)
- (-) Quantum Science (2)
- (-) Simulation (2)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (1)
- Artificial Intelligence (3)
- Big Data (3)
- Bioenergy (4)
- Biology (5)
- Biomedical (2)
- Buildings (8)
- Chemical Sciences (2)
- Clean Water (3)
- Climate Change (3)
- Computer Science (4)
- Coronavirus (4)
- Critical Materials (3)
- Decarbonization (1)
- Energy Storage (6)
- Environment (5)
- Exascale Computing (1)
- Grid (4)
- High-Performance Computing (4)
- Hydropower (5)
- Irradiation (1)
- Isotopes (1)
- Materials (11)
- Materials Science (3)
- Microscopy (3)
- Nanotechnology (2)
- National Security (3)
- Neutron Science (2)
- Partnerships (1)
- Physics (1)
- Space Exploration (3)
- Summit (1)
- Sustainable Energy (6)
- Transportation (2)
Media Contacts
The presence of minerals called ash in plants makes little difference to the fitness of new naturally derived compound materials designed for additive manufacturing, an Oak Ridge National Laboratory-led team found.
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.
Oak Ridge National Laboratory scientists designed a recyclable polymer for carbon-fiber composites to enable circular manufacturing of parts that boost energy efficiency in automotive, wind power and aerospace applications.
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.
An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.
To study how space radiation affects materials for spacecraft and satellites, Oak Ridge National Laboratory scientists sent samples to the International Space Station. The results will inform design of radiation-resistant magnetic and electronic systems.
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.
To advance sensor technologies, Oak Ridge National Laboratory researchers studied piezoelectric materials, which convert mechanical stress into electrical energy, to see how they could handle bombardment with energetic neutrons.