Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (8)
- Clean Energy (43)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fusion and Fission (1)
- Fusion Energy (6)
- Isotopes (3)
- Materials (10)
- Materials for Computing (1)
- Mathematics (1)
- National Security (3)
- Neutron Science (2)
- Nuclear Science and Technology (5)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (3)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (13)
- (-) Artificial Intelligence (13)
- (-) Clean Water (13)
- (-) Grid (20)
- (-) Isotopes (5)
- (-) Machine Learning (10)
- (-) Transportation (35)
- 3-D Printing/Advanced Manufacturing (31)
- Big Data (16)
- Bioenergy (15)
- Biology (17)
- Biomedical (11)
- Biotechnology (3)
- Buildings (19)
- Chemical Sciences (9)
- Climate Change (22)
- Composites (9)
- Computer Science (39)
- Coronavirus (11)
- Critical Materials (12)
- Cybersecurity (3)
- Decarbonization (8)
- Energy Storage (31)
- Environment (43)
- Exascale Computing (1)
- Frontier (1)
- Fusion (9)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- ITER (3)
- Materials (35)
- Materials Science (33)
- Mathematics (1)
- Mercury (3)
- Microscopy (11)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (1)
- Neutron Science (27)
- Nuclear Energy (19)
- Partnerships (1)
- Physics (4)
- Polymers (9)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Sustainable Energy (44)
Media Contacts
Researchers at Oak Ridge National Laboratory have developed a nationwide modeling tool to help infrastructure planners decide where and when to locate electric vehicle charging stations along interstate highways. The goal is to encourage the adoption of EVs for cross-country travel.
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
A newly released dataset that tracks the movement of everything from food to gasoline across the United States by air, water, truck, rail and pipeline showed the value and tonnage of those goods rose significantly between 2012 and 2017.
Researchers at Oak Ridge National Laboratory have identified a statistical relationship between the growth of cities and the spread of paved surfaces like roads and sidewalks. These impervious surfaces impede the flow of water into the ground, affecting the water cycle and, by extension, the climate.
Scientists at Oak Ridge National Laboratory successfully demonstrated a technique to heal dendrites that formed in a solid electrolyte, resolving an issue that can hamper the performance of high energy-density, solid-state batteries.
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.
A better way of welding targets for Oak Ridge National Laboratory’s plutonium-238 production has sped up the process and improved consistency and efficiency. This advancement will ultimately benefit the lab’s goal to make enough Pu-238 – the isotope that powers NASA’s deep space missions – to yield 1.5 kilograms of plutonium oxide annually by 2026.
A new Department of Energy report produced by Oak Ridge National Laboratory details national and international trends in hydropower, including the role waterpower plays in enhancing the flexibility and resilience of the power grid.
Fuel economy can take a tumble when temperatures plummet, according to the Department of Energy’s 2021 Fuel Economy Guide. Compiled by researchers at Oak Ridge National Laboratory, the guide includes several tips to improve a vehicle’s fuel performance.
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.