Filter News
Area of Research
- (-) Clean Energy (70)
- (-) Materials (69)
- (-) Neutron Science (28)
- Advanced Manufacturing (8)
- Biology and Environment (23)
- Building Technologies (1)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (13)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (13)
- Fusion Energy (7)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials Characterization (1)
- Materials for Computing (12)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (20)
- Nuclear Science and Technology (19)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Renewable Energy (1)
- Sensors and Controls (1)
- Supercomputing (58)
- Transportation Systems (1)
News Type
News Topics
- (-) Biomedical (12)
- (-) Computer Science (25)
- (-) Cybersecurity (5)
- (-) Grid (25)
- (-) Hydropower (2)
- (-) Machine Learning (7)
- (-) Materials Science (67)
- (-) Nuclear Energy (10)
- (-) Space Exploration (5)
- 3-D Printing/Advanced Manufacturing (60)
- Advanced Reactors (4)
- Artificial Intelligence (8)
- Big Data (3)
- Bioenergy (20)
- Biology (12)
- Biotechnology (4)
- Buildings (21)
- Chemical Sciences (25)
- Clean Water (5)
- Climate Change (14)
- Composites (15)
- Coronavirus (12)
- Critical Materials (18)
- Decarbonization (15)
- Energy Storage (60)
- Environment (34)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (3)
- Fusion (5)
- High-Performance Computing (6)
- Isotopes (7)
- ITER (1)
- Materials (70)
- Mathematics (1)
- Mercury (2)
- Microscopy (18)
- Molten Salt (3)
- Nanotechnology (32)
- National Security (5)
- Net Zero (2)
- Neutron Science (65)
- Partnerships (11)
- Physics (18)
- Polymers (16)
- Quantum Computing (2)
- Quantum Science (13)
- Renewable Energy (1)
- Security (4)
- Simulation (2)
- Statistics (1)
- Summit (5)
- Sustainable Energy (52)
- Transformational Challenge Reactor (3)
- Transportation (47)
Media Contacts
![2023 Battelle Distinguished Inventors](/sites/default/files/styles/list_page_thumbnail/public/2023-11/23-G07641-Battelle-Distinguished-Inventor-graphic-pcg_0.jpg?h=d1cb525d&itok=uhmqAKgT)
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
![Conceptual art depicts machine learning finding an ideal material for capacitive energy storage. Its carbon framework (black) has functional groups with oxygen (pink) and nitrogen (turquoise). Credit: Tao Wang/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/Press%20release%20image_0.jpg?h=706c9a24&itok=zX1lC5ud)
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.
![An electromagnetic pulse, or EMP, can be triggered by a nuclear explosion in the atmosphere or by an electromagnetic generator in a vehicle or aircraft. Here’s the chain of reactions it could cause to harm electrical equipment on the ground. Credit: Andy Sproles/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/EMP_illust04_0.png?h=21cd0a81&itok=M9UNd-n0)
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.
![When exposed to radiation, electrons produced within molten zinc chloride, or ZnCl2, can be observed in three distinct singly occupied molecular orbital states, plus a more diffuse, delocalized state. Credit: Hung H. Nguyen/University of Iowa](/sites/default/files/styles/list_page_thumbnail/public/2023-10/bernard-wide_0.png?h=dba5e3ef&itok=DgnYZ_Vy)
In a finding that helps elucidate how molten salts in advanced nuclear reactors might behave, scientists have shown how electrons interacting with the ions of the molten salt can form three states with different properties. Understanding these states can help predict the impact of radiation on the performance of salt-fueled reactors.
![ORNL’s David Sholl is director of the new DOE Energy Earthshot Non-Equilibrium Energy Transfer for Efficient Reactions center to help decarbonize the industrial chemical industry. Credit: Genevieve Martin, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2021-P04915.David_.Sholl_.jpg?h=c6980913&itok=qT7ZMJX2)
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
![Connecting wires to the interface of the topological insulator and superconductor enables probing of novel electronic properties. Researchers aim for qubits based on theorized Majorana particles. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2023-P04516.jpg?h=c6980913&itok=BoCZtfwR)
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.
![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
![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.
![ORNL seismic researcher Chengping Chai placed seismic sensors on the ground at various distances from an ORNL nuclear reactor to learn whether they could detect its operating state. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/2023-P03398.jpg?h=3e43625b&itok=TXK8tthh)
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
![This newly manufactured fixed guide vane of a hydropower turbine system was printed at the DOE Manufacturing Demonstration Facility at ORNL. Credit: Genevieve Martin/ORNL, U.S Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/2018-P00570_0.png?h=82f92a78&itok=9y4_5upC)
A new report published by ORNL assessed how advanced manufacturing and materials, such as 3D printing and novel component coatings, could offer solutions to modernize the existing fleet and design new approaches to hydropower.