Filter News
Area of Research
- (-) Clean Energy (27)
- (-) Isotopes (1)
- (-) National Security (3)
- (-) Quantum information Science (3)
- Advanced Manufacturing (2)
- Biology and Environment (6)
- Building Technologies (1)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Fusion Energy (6)
- Materials (5)
- Materials for Computing (2)
- Mathematics (1)
- Neutron Science (2)
- Nuclear Science and Technology (3)
- Sensors and Controls (1)
- Supercomputing (17)
News Topics
- (-) Computer Science (13)
- (-) Grid (17)
- (-) Machine Learning (2)
- (-) Net Zero (1)
- (-) Quantum Science (3)
- (-) Space Exploration (3)
- 3-D Printing/Advanced Manufacturing (23)
- Artificial Intelligence (1)
- Big Data (3)
- Bioenergy (2)
- Biology (2)
- Biomedical (2)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (1)
- Clean Water (4)
- Climate Change (6)
- Composites (9)
- Coronavirus (3)
- Critical Materials (4)
- Cybersecurity (2)
- Decarbonization (4)
- Energy Storage (22)
- Environment (16)
- High-Performance Computing (1)
- Hydropower (2)
- Irradiation (1)
- Isotopes (3)
- Materials (13)
- Materials Science (9)
- Mathematics (1)
- Mercury (1)
- Microscopy (2)
- Nanotechnology (1)
- Nuclear Energy (1)
- Physics (1)
- Polymers (5)
- Security (1)
- Simulation (1)
- Statistics (1)
- Summit (1)
- Sustainable Energy (27)
- Transportation (27)
Media Contacts
![The REVISE-II modeling tool developed at ORNL supports decision-making for electric vehicle charging infrastructure development along interstate highways in support of intercity travel. Credit: Jason Richards/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/2011-P01916_0.jpg?h=7625acff&itok=oKCqeJ5P)
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.
![An algorithm developed and field-tested by ORNL researchers uses machine learning to maintain homeowners’ preferred temperatures year-round while minimizing energy costs. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/2019-P07408_2.jpg?h=8f9cfe54&itok=jBvKdqIv)
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
![Scientists genetically engineered bacteria for itaconic acid production, creating dynamic controls that separate microbial growth and production phases for increased efficiency and acid yield. Credit: NREL](/sites/default/files/styles/list_page_thumbnail/public/2021-05/Putida_forAdam_2clr_2.jpg?h=71f44bf2&itok=8u0ZVufx)
A research team led by Oak Ridge National Laboratory bioengineered a microbe to efficiently turn waste into itaconic acid, an industrial chemical used in plastics and paints.
![Urban climate modeling](/sites/default/files/styles/list_page_thumbnail/public/2021-03/urbanclimate_sized.jpeg?h=0d9d21a1&itok=-ICe9HqY)
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.
![ORNL researchers are developing a method to print low-cost, high-fidelity, customizable sensors for monitoring power grid equipment. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/SAW%20sensors%202021-P01084_0.jpg?h=8f9cfe54&itok=H3Fe6A_G)
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.
![ORNL welder Devin Johnson uses a new orbital welder to seal a hollow target in a glovebox in the lab’s Radiochemical Engineering Development Center. The new welder makes a clean seam on the metal target, eliminating the need for hand-finishing afterward. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/2021-P00359.jpg?h=8f9cfe54&itok=_g8_FpZZ)
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.
![Pella Marion](/sites/default/files/styles/list_page_thumbnail/public/2021-03/WMMPA%20Pella%20Marion%20790_Small.jpg?h=f14a4ec1&itok=ItU-Ca6U)
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.
![Cars and coronavirus](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Transportation-Gauging_pandemic_impact_ORNL_0.jpg?h=4a7d1ed4&itok=Xqx4kknO)
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.
![Map with focus on sub-saharan Africa](/sites/default/files/styles/list_page_thumbnail/public/2020-07/firms3-Africa-NASA_0.jpg?h=27f1d52b&itok=G8uUS5cH)
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.
![Wireless charging – Special delivery for UPS](/sites/default/files/styles/list_page_thumbnail/public/2020-05/UPS_wireless_power_story%20tip_3000.jpg?h=3748d94f&itok=Xf2MDLEi)
Researchers at Oak Ridge National Laboratory demonstrated a 20-kilowatt bi-directional wireless charging system on a UPS plug-in hybrid electric delivery truck, advancing the technology to a larger class of vehicles and enabling a new energy storage method for fleet owners and their facilities.