Filter News
Area of Research
- (-) Materials (78)
- (-) Supercomputing (69)
- Advanced Manufacturing (10)
- Biological Systems (1)
- Biology and Environment (34)
- Clean Energy (95)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (10)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials Characterization (1)
- Materials for Computing (12)
- Materials Under Extremes (1)
- National Security (42)
- Neutron Science (35)
- Nuclear Science and Technology (7)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (20)
- (-) Biomedical (15)
- (-) Composites (5)
- (-) Grid (8)
- (-) Materials Science (62)
- (-) National Security (8)
- (-) Software (1)
- (-) Summit (35)
- Advanced Reactors (2)
- Artificial Intelligence (35)
- Big Data (14)
- Bioenergy (17)
- Biology (13)
- Biotechnology (2)
- Buildings (6)
- Chemical Sciences (28)
- Clean Water (2)
- Climate Change (19)
- Computer Science (80)
- Coronavirus (14)
- Critical Materials (8)
- Cybersecurity (8)
- Decarbonization (9)
- Energy Storage (28)
- Environment (28)
- Exascale Computing (19)
- Frontier (25)
- Fusion (5)
- High-Performance Computing (33)
- Isotopes (11)
- ITER (1)
- Machine Learning (12)
- Materials (63)
- Mathematics (1)
- Microscopy (22)
- Molten Salt (2)
- Nanotechnology (34)
- Net Zero (2)
- Neutron Science (37)
- Nuclear Energy (15)
- Partnerships (11)
- Physics (32)
- Polymers (11)
- Quantum Computing (16)
- Quantum Science (27)
- Renewable Energy (1)
- Security (6)
- Simulation (11)
- Space Exploration (3)
- Sustainable Energy (14)
- Transformational Challenge Reactor (3)
- Transportation (12)
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.
![Scientists at Oak Ridge National Laboratory contributed to several chapters of the Fifth National Climate Assessment, providing expertise in complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/EarthSystem_2023NCA5.jpg?h=d1cb525d&itok=r043oHRM)
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
![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.
![red and green sphagnum moss](/sites/default/files/styles/list_page_thumbnail/public/2023-10/2022-P05000_0.jpg?h=971886de&itok=7xwMranw)
A type of peat moss has surprised scientists with its climate resilience: Sphagnum divinum is actively speciating in response to hot, dry conditions.
![The sun sets behind the ORNL Visitor Center in this aerial photo from April 2023. Credit: Kase Clapp/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-10/sunset_visitor-center_0.png?h=10d202d3&itok=jLImPT0R)
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
![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.
![Summit Plus banner](/sites/default/files/styles/list_page_thumbnail/public/2023-09/SummitPlus%20banner_0.png?h=ae114f5c&itok=Ui95ZMpw)
The Oak Ridge Leadership Computing Facility, a Department of Energy Office of Science user facility at ORNL, is pleased to announce a new allocation program for computing time on the IBM AC922 Summit supercomputer.
![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.
![Steven Hamilton, an R&D scientist in the HPC Methods for Nuclear Applications group at ORNL, leads the ExaSMR project. ExaSMR was developed to run on the Oak Ridge Leadership Computing Facility’s exascale-class supercomputer, Frontier. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2023-P00165_1.jpg?h=c6980913&itok=YE6_qVLk)
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.