Filter News
Area of Research
- (-) Biology and Environment (13)
- (-) Supercomputing (32)
- Advanced Manufacturing (4)
- Clean Energy (51)
- Computer Science (2)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (15)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (24)
- Materials for Computing (5)
- National Security (16)
- Neutron Science (8)
- Nuclear Science and Technology (9)
- Quantum information Science (1)
- Sensors and Controls (1)
News Topics
- (-) Artificial Intelligence (13)
- (-) Cybersecurity (7)
- (-) Exascale Computing (7)
- (-) Fusion (1)
- (-) Grid (3)
- (-) Isotopes (2)
- (-) Machine Learning (6)
- (-) Nuclear Energy (2)
- (-) Security (4)
- (-) Sustainable Energy (7)
- (-) Transportation (3)
- 3-D Printing/Advanced Manufacturing (9)
- Advanced Reactors (1)
- Big Data (2)
- Bioenergy (13)
- Biology (17)
- Biomedical (7)
- Biotechnology (5)
- Buildings (3)
- Chemical Sciences (9)
- Climate Change (10)
- Composites (3)
- Computer Science (33)
- Coronavirus (9)
- Critical Materials (1)
- Decarbonization (3)
- Energy Storage (7)
- Environment (16)
- Frontier (12)
- High-Performance Computing (14)
- Materials (15)
- Materials Science (10)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (5)
- Net Zero (1)
- Neutron Science (10)
- Partnerships (5)
- Physics (4)
- Polymers (1)
- Quantum Computing (5)
- Quantum Science (10)
- Simulation (4)
- Space Exploration (1)
- Summit (16)
- Transformational Challenge Reactor (1)
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
![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.
![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.
![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.
![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.
![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.
![ORNL researchers, from left, Yang Liu, Xiaohan Yang and Torik Islam, collaborated on the development of a new capability to insert multiple genes simultaneously for fast, efficient transformation of plants into better bioenergy feedstocks. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/Gene%20stacking%202023-P03111_0.jpg?h=c6980913&itok=RSUZXZ8U)
In a discovery aimed at accelerating the development of process-advantaged crops for jet biofuels, scientists at ORNL developed a capability to insert multiple genes into plants in a single step.
![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.
![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.