Filter News
Area of Research
- (-) Materials (31)
- (-) Supercomputing (21)
- Advanced Manufacturing (1)
- Biology and Environment (19)
- Clean Energy (29)
- Climate and Environmental Systems (1)
- Computer Science (1)
- Energy Frontier Research Centers (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (6)
- Materials for Computing (3)
- National Security (9)
- Neutron Science (10)
- Nuclear Science and Technology (4)
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (14)
- (-) Environment (10)
- (-) Grid (5)
- (-) Isotopes (5)
- (-) Nanotechnology (23)
- 3-D Printing/Advanced Manufacturing (15)
- 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)
- Exascale Computing (7)
- Frontier (12)
- Fusion (2)
- High-Performance Computing (13)
- ITER (1)
- Machine Learning (5)
- Materials (41)
- Materials Science (37)
- Microscopy (13)
- Molten Salt (2)
- National Security (5)
- 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)
- Sustainable Energy (9)
- Transformational Challenge Reactor (1)
- Transportation (5)
Media Contacts
![The Frontier exascale supercomputer at Oak Ridge National Laboratory. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/52117623843_512fd5631b_c.jpg?h=58082582&itok=N8ldUZ5g)
ORNL has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for
![ORNL scientists developed a method that improves the accuracy of the CRISPR Cas9 gene editing tool used to modify microbes for renewable fuels and chemicals production. This research draws on the lab’s expertise in quantum biology, artificial intelligence and synthetic biology. Credit: Philip Gray/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/CRISPR%20Quantum%20AI_2_23-G07105-DOE-BER-BESSD-comms-graphic-pcg_2.jpg?h=847b7ff0&itok=WD2dBsAC)
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
![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.
![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.
![A new nanoscience study led by an ORNL quantum researcher takes a big-picture look at how scientists study materials at the smallest scales. Credit: Getty Images](/sites/default/files/styles/list_page_thumbnail/public/2023-08/QuantumTunnel_0.png?h=ae114f5c&itok=B4Rxkkvs)
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
![Frontier supercomputer](/sites/default/files/styles/list_page_thumbnail/public/2023-06/Frontier-logos_0.jpg?h=c6980913&itok=yuF5A0wj)
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
![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.
![Jason Gardner, Sandra Davern and Peter Thornton have been elected fellows of AAAS. Credit: Laddy Fields/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-02/AAAS_2022%20Thumbnail_0.png?h=b6717701&itok=4TftuioC)
Three scientists from the Department of Energy’s Oak Ridge National Laboratory have been elected fellows of the American Association for the Advancement of Science, or AAAS.
![A pure lipid membrane formed using lipid-coated water droplets exhibits long-term potentiation, or LTP, associated with learning and memory, emulating hippocampal LTP observed in the brains of mammals and birds. Credit: Jill Hemman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-12/22-G03904_Katsaras.png?h=e5aec6c8&itok=reSDZkmx)
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.
![Eight ORNL scientists are among the world’s most highly cited researchers, Credit: Butch Newton/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-11/2021-P09536_0.png?h=82f92a78&itok=BeEG2fpP)
Eight ORNL scientists are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.