Filter News
Area of Research
News Topics
- (-) Clean Water (3)
- (-) Critical Materials (3)
- (-) Machine Learning (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)
- Climate Change (3)
- Composites (2)
- Computer Science (4)
- Coronavirus (4)
- 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)
- Polymers (1)
- Quantum Science (2)
- Simulation (2)
- Space Exploration (3)
- Summit (1)
- Sustainable Energy (6)
- Transportation (2)
Media Contacts
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.
Researchers at Oak Ridge National Laboratory and Momentum Technologies have piloted an industrial-scale process for recycling valuable materials in the millions of tons of e-waste generated annually in the United States.
Researchers at Oak Ridge National Laboratory are using state-of-the-art methods to shed light on chemical separations needed to recover rare-earth elements and secure critical materials for clean energy technologies.
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.
Measuring water quality throughout river networks with precision, speed and at lower cost than traditional methods is now possible with AquaBOT, an aquatic drone developed by Oak Ridge National Laboratory.
Oak Ridge National Laboratory scientists worked with the Colorado School of Mines and Baylor University to develop and test control methods for autonomous water treatment plants that use less energy and generate less waste.
A new analysis from Oak Ridge National Laboratory shows that intensified aridity, or drier atmospheric conditions, is caused by human-driven increases in greenhouse gas emissions. The findings point to an opportunity to address and potentially reverse the trend by reducing emissions.
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.