Filter News
Area of Research
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (44)
- (-) Environment (36)
- (-) Microscopy (16)
- (-) Molten Salt (2)
- Advanced Reactors (10)
- Artificial Intelligence (29)
- Big Data (8)
- Bioenergy (24)
- Biology (22)
- Biomedical (17)
- Biotechnology (7)
- Buildings (13)
- Chemical Sciences (29)
- Clean Water (1)
- Climate Change (22)
- Composites (9)
- Computer Science (57)
- Coronavirus (17)
- Critical Materials (11)
- Cybersecurity (17)
- Decarbonization (19)
- Education (3)
- Element Discovery (1)
- Energy Storage (41)
- Exascale Computing (9)
- Fossil Energy (1)
- Frontier (14)
- Fusion (14)
- Grid (15)
- High-Performance Computing (26)
- Isotopes (17)
- ITER (2)
- Machine Learning (13)
- Materials (59)
- Materials Science (50)
- Mercury (2)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (49)
- Nuclear Energy (25)
- Partnerships (27)
- Physics (24)
- Polymers (12)
- Quantum Computing (9)
- Quantum Science (26)
- Renewable Energy (1)
- Security (11)
- Simulation (8)
- Space Exploration (3)
- Statistics (2)
- Summit (20)
- Sustainable Energy (31)
- Transformational Challenge Reactor (4)
- Transportation (25)
Media Contacts
![ZEISS Head of Additive Manufacturing Technology Claus Hermannstaedter, left, and ORNL Interim Associate Laboratory Director for Energy Science and Technology Rick Raines sign a licensing agreement that allows ORNL’s machine-learning algorithm, Simurgh, to be used for rapid evaluations of 3D-printed components with industrial X-ray computed tomography, or CT. Using machine learning in CT scanning is expected to reduce the time and cost of inspections of 3D-printed parts by more than ten times.](/sites/default/files/styles/list_page_thumbnail/public/2023-08/ZEISS%20signing%20handshake_0.jpg?h=c6980913&itok=4J8nVrPc)
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine
![The OpeN-AM experimental platform, installed at the VULCAN instrument, features a robotic arm that prints layers of molten metal to create complex shapes. Credit: Jill Hemman/ORNL, U.S Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/Picture2.jpg?h=3c75dc16&itok=_NLdJ0Po)
Technologies developed by researchers at ORNL have received six 2023 R&D 100 Awards.
![Innovation Crossroads cohort 7](/sites/default/files/styles/list_page_thumbnail/public/2023-08/IC-cohort7-1000px.png?h=b6717701&itok=dHzO-FYD)
Seven entrepreneurs will embark on a two-year fellowship as the seventh cohort of Innovation Crossroads kicks off this month at ORNL. Representing a range of transformative energy technologies, Cohort 7 is a diverse class of innovators with promising new companies.
![ORNL’s Fernanda Santos examines a soil sample at an NGEE Arctic field site in the Alaskan tundra in June 2022. Credit: Amy Breen, University of Alaska Fairbanks.](/sites/default/files/styles/list_page_thumbnail/public/2023-08/Fernanda_Nome_June2022.jpg?h=06de31ac&itok=VGxKV_uY)
Wildfires are an ancient force shaping the environment, but they have grown in frequency, range and intensity in response to a changing climate. At ORNL, scientists are working on several fronts to better understand and predict these events and what they mean for the carbon cycle and biodiversity.
![TIP graphic](/sites/default/files/styles/list_page_thumbnail/public/2023-06/TIPbg_1200.png?h=da33fe38&itok=y7ggwHLV)
Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.
![Rigoberto Advincula](/sites/default/files/styles/list_page_thumbnail/public/2023-06/2020-P08153.jpg?h=8f9cfe54&itok=J1Xib1hr)
Rigoberto Advincula, a renowned scientist at ORNL and professor of Chemical and Biomolecular Engineering at the University of Tennessee, has won the Netzsch North American Thermal Analysis Society Fellows Award for 2023.
![ORNL’s Shih-Chieh Kao has been named a 2023 fellow of the American Society of Civil Engineers’ Environmental & Water Resources Institute. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-05/Kao%202015-P06127_0.jpg?h=49ab6177&itok=5Qm0lUjE)
Shih-Chieh Kao, manager of the Water Power program at ORNL, has been named a fellow of the American Society of Civil Engineer’s Environmental & Water Resources Institute, or EWRI.
![Colleen Iversen is the new director of NGEE Arctic, leading a large cross-disciplinary team of scientists in pursuit of a better understanding of Arctic climate processes. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-05/Colleen_crop1.png?h=707772c7&itok=9f3Cyi_G)
Colleen Iversen, ecosystem ecologist, group leader and distinguished staff scientist, has been named director of the Next-Generation Ecosystem Experiments Arctic, or NGEE Arctic, a multi-institutional project studying permafrost thaw and other climate-related processes in Alaska.
![Andrew Lupini](/sites/default/files/styles/list_page_thumbnail/public/2023-04/lupini.png?h=181bc054&itok=c-ov-WoV)
Andrew Lupini, a scientist and inventor at ORNL, has been elected Fellow of the Microscopy Society of America.
![An AI-generated image representing atoms and artificial neural networks. Credit: Maxim Ziatdinov, ORNL](/sites/default/files/styles/list_page_thumbnail/public/2023-04/atoms3.jpg?h=ab622562&itok=dNMzrFw8)
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.