![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
- Advanced Manufacturing (22)
- Biological Systems (2)
- Biology and Environment (68)
- Building Technologies (1)
- Clean Energy (200)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (90)
- Materials for Computing (19)
- Mathematics (1)
- National Security (13)
- Neutron Science (23)
- Nuclear Science and Technology (13)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (34)
- Transportation Systems (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (125)
- (-) Bioenergy (92)
- (-) Clean Water (31)
- (-) Grid (66)
- (-) Isotopes (55)
- (-) Microscopy (51)
- (-) Polymers (33)
- (-) Space Exploration (25)
- (-) Transportation (97)
- Advanced Reactors (34)
- Artificial Intelligence (97)
- Big Data (60)
- Biology (100)
- Biomedical (60)
- Biotechnology (23)
- Buildings (61)
- Chemical Sciences (70)
- Climate Change (104)
- Composites (29)
- Computer Science (195)
- Coronavirus (46)
- Critical Materials (29)
- Cybersecurity (35)
- Decarbonization (82)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (198)
- Exascale Computing (40)
- Fossil Energy (6)
- Frontier (44)
- Fusion (57)
- High-Performance Computing (90)
- Hydropower (11)
- Irradiation (3)
- ITER (7)
- Machine Learning (49)
- Materials (145)
- Materials Science (145)
- Mathematics (9)
- Mercury (12)
- Microelectronics (4)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (71)
- Net Zero (14)
- Neutron Science (134)
- Nuclear Energy (110)
- Partnerships (49)
- Physics (63)
- Quantum Computing (37)
- Quantum Science (71)
- Renewable Energy (2)
- Security (25)
- Simulation (49)
- Software (1)
- Statistics (3)
- Summit (59)
- Sustainable Energy (130)
- Transformational Challenge Reactor (7)
Media Contacts
Researchers at ORNL recently demonstrated an automated drone-inspection technology at EPB of Chattanooga that will allow utilities to more quickly and easily check remote power lines for malfunctions, catching problems before outages occur.
![Jeremiah Sewell](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2023-P10892.jpg?h=c6980913&itok=nr9xd3j7)
Jeremiah Sewell leads a team at ORNL, working on xenon-129 production for lung imaging. Reflecting on his career, Sewell views each opportunity as a "door" he steps through, leveraging over 25 years of experience in nuclear power and centrifuge operations to advance the facility’s mission.
![Debjani Singh](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=zFo2oivw)
Debjani Singh, a senior scientist at ORNL, leads the HydroSource project, which enhances hydropower research by making water data more accessible and useful. With a background in water resources, data science, and earth science, Singh applies innovative tools like AI to advance research. Her career, shaped by her early exposure to science in India, focuses on bridging research with practical applications.
![Benjamin Manard](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2021-P08328.jpg?h=8f0b2d98&itok=ZKVil-VE)
Benjamin Manard, an analytical chemist in the Chemical Sciences Division of the Department of Energy’s Oak Ridge National Laboratory, will receive the 2024 Lester W. Strock Award from the Society of Applied Spectroscopy.
![Green and blue background of a graphic image that says Honors and Awards](/sites/default/files/styles/list_page_thumbnail/public/2024-07/HonorsandAwards4.jpg?h=d1cb525d&itok=5_BrUH4R)
Two additive manufacturing researchers from ORNL received prestigious awards from national organizations. Amy Elliott and Nadim Hmeidat, who both work in the Manufacturing Science Division, were recognized recently for their early career accomplishments.
![This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P08173.jpg?h=c6980913&itok=Ed354_C-)
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
![ORNL researchers Phani Marthi and Suman Debnath work on developing and scaling up new EMT simulation software to analyze how power electronics in the electric grid will respond to brief interruptions in power flow. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Suman%20%26%20Phani%20working%20in%20GRID-C.jpg?h=c6980913&itok=NvMil7os)
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.
![Researcher Brittany Rodriguez works with an ORNL-developed Additive Manufacturing/Compression Molding system that 3D prints large-scale, high-volume parts made from lightweight composites. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Rodriguez%20profile%20photo%202.jpg?h=b3660f0d&itok=GjSV8Zyr)
Brittany Rodriguez never imagined she would pursue a science career at a Department of Energy national laboratory. However, after some encouraging words from her mother, input from key mentors at the University of Texas Rio Grande Valley, or UTRGV, and a lot of hard work, Rodriguez landed at DOE’s Manufacturing Demonstration Facility, or MDF, at Oak Ridge National Laboratory.
![The photo is of a 3D-printed part -- a big grey block with a grey fan like structure coming out from the top. To the right shows a digital copy in an AI model.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/powderBed03.jpg?h=d1cb525d&itok=iHER8rAc)
The Department of Energy’s Oak Ridge National Laboratory has publicly released a new set of additive manufacturing data that industry and researchers can use to evaluate and improve the quality of 3D-printed components. The breadth of the datasets can significantly boost efforts to verify the quality of additively manufactured parts using only information gathered during printing, without requiring expensive and time-consuming post-production analysis.
![This photo is of four men standing in front of a wall of monitors that are showing a tree looking image.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P18264.jpg?h=c6980913&itok=5vhjgeck)
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.