![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
- (-) Clean Energy (33)
- (-) Computational Engineering (2)
- (-) Computer Science (10)
- Advanced Manufacturing (1)
- Biology and Environment (12)
- Building Technologies (1)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (1)
- Fusion Energy (7)
- Materials (2)
- Materials for Computing (1)
- Mathematics (1)
- National Security (8)
- Nuclear Science and Technology (5)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (20)
News Type
News Topics
- (-) Computer Science (17)
- (-) Grid (22)
- (-) Machine Learning (5)
- (-) Mercury (2)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (33)
- Artificial Intelligence (5)
- Big Data (5)
- Bioenergy (4)
- Biology (3)
- Biomedical (2)
- Biotechnology (1)
- Buildings (19)
- Chemical Sciences (1)
- Clean Water (5)
- Climate Change (8)
- Composites (9)
- Coronavirus (6)
- Critical Materials (5)
- Cybersecurity (2)
- Decarbonization (12)
- Energy Storage (32)
- Environment (21)
- High-Performance Computing (2)
- Hydropower (2)
- Materials (14)
- Materials Science (10)
- Mathematics (2)
- Microscopy (3)
- Nanotechnology (1)
- National Security (1)
- Net Zero (2)
- Neutron Science (1)
- Nuclear Energy (1)
- Polymers (5)
- Quantum Science (1)
- Security (2)
- Simulation (1)
- Space Exploration (2)
- Statistics (1)
- Sustainable Energy (33)
- Transportation (36)
Media Contacts
![Hope Corsair. Credit: Carlos Jones, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-09/2021-P06397.jpg?h=2e75806b&itok=T_4C_X35)
When Hope Corsair’s new colleagues at Oak Ridge National Laboratory ask her about her area of expertise, she tells them it’s “context.” Her goal as an energy economist is to make sure ORNL’s breakthroughs have the widest possible
![ORNL’s particle entanglement machine is a precursor to the device that researchers at the University of Oklahoma are building, which will produce entangled quantum particles for quantum sensing to detect underground pipeline leaks. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/IMG_20170706_154618586AK_0.jpg?h=61873cd7&itok=0OWbsNbu)
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
![ORNL researchers demonstrated a 3D printed power pole made of bioderived and recycled materials could be easily manufactured, transported and assembled, enabling the quick restoration of power after natural disasters. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/PrintedTubeCropped.jpg?h=7e76e9d2&itok=0C7p7pB3)
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.
![ORNL researchers installed and demonstrated their wireless charging technology for the first time on an autonomous vehicle – the Local Motors Olli shuttle bus. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/2021-P03084_1.jpg?h=c6980913&itok=zDDq9rRc)
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.
![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.
![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.
![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.
![Suman Debnath is using simulation algorithms to accelerate understanding of the modern power grid and enhance its reliability and resilience. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Suman%20Debnath%20Square.jpg?h=439d043c&itok=1umME5uH)
Planning for a digitized, sustainable smart power grid is a challenge to which Suman Debnath is using not only his own applied mathematics expertise, but also the wider communal knowledge made possible by his revival of a local chapter of the IEEE professional society.