Filter News
Area of Research
- (-) Clean Energy (42)
- (-) Isotope Development and Production (1)
- (-) Materials (64)
- (-) Supercomputing (38)
- Advanced Manufacturing (1)
- Biology and Environment (19)
- Climate and Environmental Systems (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Isotopes (2)
- Materials Characterization (1)
- Materials for Computing (11)
- Materials Under Extremes (1)
- National Security (5)
- Neutron Science (21)
- Nuclear Science and Technology (3)
News Type
News Topics
- (-) Buildings (21)
- (-) Exascale Computing (22)
- (-) Materials Science (67)
- (-) Mercury (2)
- (-) Polymers (13)
- 3-D Printing/Advanced Manufacturing (61)
- Advanced Reactors (8)
- Artificial Intelligence (40)
- Big Data (18)
- Bioenergy (31)
- Biology (17)
- Biomedical (19)
- Biotechnology (5)
- Chemical Sciences (29)
- Clean Water (6)
- Climate Change (29)
- Composites (10)
- Computer Science (85)
- Coronavirus (20)
- Critical Materials (10)
- Cybersecurity (14)
- Decarbonization (29)
- Energy Storage (59)
- Environment (58)
- Fossil Energy (2)
- Frontier (27)
- Fusion (4)
- Grid (26)
- High-Performance Computing (38)
- Irradiation (1)
- Isotopes (11)
- ITER (1)
- Machine Learning (16)
- Materials (76)
- Mathematics (2)
- Microelectronics (1)
- Microscopy (23)
- Molten Salt (2)
- Nanotechnology (33)
- National Security (11)
- Net Zero (3)
- Neutron Science (43)
- Nuclear Energy (21)
- Partnerships (16)
- Physics (30)
- Quantum Computing (16)
- Quantum Science (29)
- Renewable Energy (1)
- Security (10)
- Simulation (14)
- Software (1)
- Space Exploration (5)
- Summit (37)
- Sustainable Energy (43)
- Transformational Challenge Reactor (5)
- Transportation (42)
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.
![Karen White](/sites/default/files/styles/list_page_thumbnail/public/2023-12/karen-white.png?h=82115ee8&itok=oxhQuzGO)
Karen White, who works in ORNL’s Neutron Science Directorate, has been honored with a Lifetime Achievement Award.
![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.
![Researchers used Frontier, the world’s first exascale supercomputer, to simulate a magnesium system of nearly 75,000 atoms and the National Energy Research Computing Center’s Perlmutter supercomputer to simulate a quasicrystal structure, above, in a ytterbium-cadmium alloy. Credit: Vikram Gavini](/sites/default/files/styles/list_page_thumbnail/public/2023-11/Gavini_quasiCrystal_0.png?h=c85002af&itok=6QPdbiZo)
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
![Frontier’s exascale power enables the Energy, Exascale and Earth System Model-Multiscale Modeling Framework — or E3SM-MMF — project to run years’ worth of climate simulations at unprecedented speed and scale. Credit: Mark Taylor/Sandia National Laboratories, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/E3SM-MMF.png?h=21f5ce54&itok=UAeMXyqa)
The world’s first exascale supercomputer will help scientists peer into the future of global climate change and open a window into weather patterns that could affect the world a generation from now.
![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 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.
![As a scientist at Oak Ridge National Laboratory, Tugba Turnaoglu is investigating new thermal energy storage materials and ways to incorporate them into cost-effective and energy-efficient heat pump designs. Credit: Carlos Jones/ORNL, U.S. Dept of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2023-P11283.jpg?h=c6980913&itok=vr7C7cTK)
The common sounds in the background of daily life – like a refrigerator’s hum, an air conditioner’s whoosh and a heat pump’s buzz – often go unnoticed. These noises, however, are the heartbeat of a healthy building and integral for comfort and convenience.
![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.