Filter News
Area of Research
- (-) Materials (52)
- (-) Supercomputing (24)
- Advanced Manufacturing (2)
- Biology and Environment (12)
- Clean Energy (41)
- Computer Science (1)
- Fusion and Fission (8)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials Characterization (1)
- Materials for Computing (7)
- Materials Under Extremes (1)
- National Security (13)
- Neutron Science (14)
- Nuclear Science and Technology (4)
News Topics
- (-) Advanced Reactors (1)
- (-) Exascale Computing (7)
- (-) Materials Science (37)
- (-) Microscopy (13)
- (-) National Security (5)
- (-) Sustainable Energy (9)
- 3-D Printing/Advanced Manufacturing (15)
- Artificial Intelligence (14)
- Big Data (1)
- Bioenergy (12)
- Biology (7)
- Biomedical (7)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (20)
- Climate Change (7)
- Composites (3)
- Computer Science (32)
- Coronavirus (7)
- Critical Materials (8)
- Cybersecurity (6)
- Decarbonization (5)
- Energy Storage (20)
- Environment (10)
- Frontier (12)
- Fusion (2)
- Grid (5)
- High-Performance Computing (13)
- Isotopes (5)
- ITER (1)
- Machine Learning (5)
- Materials (41)
- Molten Salt (2)
- Nanotechnology (23)
- Net Zero (1)
- Neutron Science (22)
- Nuclear Energy (3)
- Partnerships (8)
- Physics (17)
- Polymers (6)
- Quantum Computing (5)
- Quantum Science (17)
- Renewable Energy (1)
- Security (4)
- Simulation (1)
- Space Exploration (1)
- Summit (14)
- Transformational Challenge Reactor (1)
- Transportation (5)
Media Contacts
![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.
![Logo that reads U.S. Department of Energy INCITE Leadership Computing](/sites/default/files/styles/list_page_thumbnail/public/2023-11/incite_300_0.jpg?h=7a0c69fb&itok=F0mwavMd)
The Department of Energy’s Office of Science has allocated supercomputer access to a record-breaking 75 computational science projects for 2024 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program. DOE is awarding 60% of the available time on the leadership-class supercomputers at DOE’s Argonne and Oak Ridge National Laboratories to accelerate discovery and innovation.
![The Department of Energy’s Oak Ridge National Laboratory announced the establishment of its Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making. Credit: Rachel Green/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/CAISER%20image2.png?h=d1cb525d&itok=VcPbKvuS)
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
![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.
![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.
![Exascale Computing Project](/sites/default/files/styles/list_page_thumbnail/public/2023-05/ECP.png?h=f9180d14&itok=jDHXXWP2)
Lawrence Livermore National Laboratory’s Lori Diachin will take over as director of the Department of Energy’s Exascale Computing Project on June 1, guiding the successful, multi-institutional high-performance computing effort through its final stages.
![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.
![Michael Parks](/sites/default/files/styles/list_page_thumbnail/public/2023-04/parks.jpg?h=e55356b9&itok=ziNn868K)
ORNL has named Michael Parks director of the Computer Science and Mathematics Division within ORNL’s Computing and Computational Sciences Directorate. His hiring became effective March 13.
![UKAEA will provide novel fusion materials to be irradiated in ORNL’s HFIR facility over the next four years. From left, Kathy McCarthy, Jeremy Busby, Mickey Wade, Prof Sir Ian Chapman (UKAEA CEO), Cynthia Jenks and Yutai Kato will represent this new partnership. Not pictured: Dr. Amanda Quadling, UKAEA’s Director of Materials Research Facility. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-03/ukaea_0.png?h=781886b5&itok=8TMsXYxx)
ORNL has entered a strategic research partnership with the United Kingdom Atomic Energy Authority, or UKAEA, to investigate how different types of materials behave under the influence of high-energy neutron sources. The $4 million project is part of UKAEA's roadmap program, which aims to produce electricity from fusion.