Filter News
Area of Research
- (-) Clean Energy (13)
- Advanced Manufacturing (1)
- Biology and Environment (6)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (2)
- Fusion Energy (7)
- Materials (12)
- Materials for Computing (3)
- Mathematics (1)
- Neutron Science (3)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Supercomputing (6)
- Transportation Systems (1)
News Topics
- (-) Clean Water (4)
- (-) Decarbonization (4)
- (-) Machine Learning (2)
- (-) Microscopy (2)
- (-) Nuclear Energy (1)
- 3-D Printing/Advanced Manufacturing (23)
- Artificial Intelligence (1)
- Big Data (1)
- Bioenergy (2)
- Biology (2)
- Biomedical (1)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (1)
- Climate Change (6)
- Composites (9)
- Computer Science (9)
- Coronavirus (2)
- Critical Materials (4)
- Energy Storage (21)
- Environment (15)
- Grid (15)
- High-Performance Computing (1)
- Hydropower (2)
- Materials (12)
- Materials Science (9)
- Mathematics (1)
- Mercury (1)
- Nanotechnology (1)
- Net Zero (1)
- Polymers (5)
- Simulation (1)
- Space Exploration (2)
- Statistics (1)
- Sustainable Energy (27)
- Transportation (26)
Media Contacts
ORNL researchers have developed a training camp to help manufacturing industries reduce energy-related carbon dioxide emissions and improve cost savings.
ORNL researchers Ben Ollis and Max Ferrari will be in Adjuntas to join the March 18 festivities but also to hammer out more technical details of their contribution to the project: making the microgrids even more reliable.
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.
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.
Oak Ridge National Laboratory researchers developed and demonstrated algorithm-based controls for a hybrid electric bus that yielded up to 30% energy savings compared with existing controls.
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.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
Oak Ridge National Laboratory researchers have built a novel microscope that provides a “chemical lens” for viewing biological systems including cell membranes and biofilms.
A new method developed at Oak Ridge National Laboratory improves the energy efficiency of a desalination process known as solar-thermal evaporation.