Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (3)
- Clean Energy (32)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fusion and Fission (3)
- Fusion Energy (7)
- Isotopes (3)
- Materials (29)
- Materials for Computing (6)
- National Security (2)
- Neutron Science (4)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (8)
- Transportation Systems (1)
News Type
News Topics
- (-) Critical Materials (12)
- (-) Fusion (9)
- (-) Grid (21)
- (-) Isotopes (5)
- (-) Machine Learning (11)
- (-) Materials Science (34)
- (-) Nuclear Energy (19)
- (-) Physics (4)
- (-) Polymers (9)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (13)
- Artificial Intelligence (13)
- Big Data (17)
- Bioenergy (16)
- Biology (18)
- Biomedical (11)
- Biotechnology (3)
- Buildings (19)
- Chemical Sciences (10)
- Clean Water (13)
- Climate Change (22)
- Composites (9)
- Computer Science (40)
- Coronavirus (11)
- Cybersecurity (3)
- Decarbonization (9)
- Energy Storage (31)
- Environment (43)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- ITER (3)
- Materials (35)
- Mathematics (2)
- Mercury (3)
- Microscopy (11)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (2)
- Neutron Science (27)
- Partnerships (1)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Sustainable Energy (45)
- Transportation (35)
Media Contacts
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.
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
Staff at Oak Ridge National Laboratory organized transport for a powerful component that is critical to the world’s largest experiment, the international ITER project.
Oak Ridge National Laboratory researchers have developed a new catalyst for converting ethanol into C3+ olefins – the chemical
An Oak Ridge National Laboratory researcher has invented a version of an isotope-separating device that can withstand extreme environments, including radiation and chemical solvents.
A team of researchers at Oak Ridge National Laboratory demonstrated the ability to additively manufacture power poles from bioderived and recycled materials, which could more quickly restore electricity after natural disasters.
Oak Ridge National Laboratory researchers demonstrated their wireless charging technology on an autonomous electric vehicle for the first time in a project with Local Motors.
Equipment and expertise from Oak Ridge National Laboratory will allow scientists studying fusion energy and technologies to acquire crucial data during landmark fusion experiments in Europe.
Scientists at Oak Ridge National Laboratory have developed a solvent that results in a more environmentally friendly process to recover valuable materials from used lithium-ion batteries, supports a stable domestic supply chain for new batteries
Scientists at Oak Ridge National Laboratory have devised a method to identify the unique chemical makeup of every lithium-ion battery around the world, information that could accelerate recycling, recover critical materials and resolve a growing waste stream.