![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
- (-) Clean Energy (522)
- (-) Materials Synthesis from Atoms to Systems (13)
- (-) Supercomputing (311)
- Advanced Manufacturing (34)
- Biological Systems (18)
- Biology and Environment (177)
- Biology and Soft Matter (5)
- Building Technologies (12)
- Chemical and Engineering Materials (4)
- Chemistry and Physics at Interfaces (11)
- Climate and Environmental Systems (14)
- Computational Biology (6)
- Computational Chemistry (5)
- Computational Engineering (5)
- Computer Science (19)
- Data (1)
- Earth Sciences (1)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (14)
- Energy Sciences (5)
- Fossil Energy (3)
- Fuel Cycle Science and Technology (3)
- Functional Materials for Energy (16)
- Fusion and Fission (54)
- Fusion Energy (17)
- Geographic Information Science and Technology (3)
- Isotope Development and Production (3)
- Isotopes (35)
- Materials (433)
- Materials Characterization (2)
- Materials for Computing (36)
- Materials Under Extremes (12)
- Mathematics (1)
- National Security (80)
- Neutron Data Analysis and Visualization (4)
- Neutron Science (190)
- Nuclear Science and Technology (74)
- Nuclear Systems Modeling, Simulation and Validation (3)
- Nuclear Systems Technology (1)
- Quantum Condensed Matter (4)
- Quantum information Science (9)
- Reactor Technology (1)
- Renewable Energy (4)
- Sensors and Controls (5)
- Transportation Systems (11)
News Type
News Topics
- 3-D Printing/Advanced Manufacturing (80)
- Advanced Reactors (7)
- Artificial Intelligence (41)
- Big Data (24)
- Bioenergy (29)
- Biology (19)
- Biomedical (22)
- Biotechnology (6)
- Buildings (37)
- Chemical Sciences (16)
- Clean Water (8)
- Climate Change (35)
- Composites (17)
- Computer Science (107)
- Coronavirus (25)
- Critical Materials (12)
- Cybersecurity (14)
- Decarbonization (35)
- Energy Storage (75)
- Environment (68)
- Exascale Computing (23)
- Fossil Energy (2)
- Frontier (28)
- Fusion (2)
- Grid (42)
- High-Performance Computing (39)
- Hydropower (2)
- Isotopes (1)
- Machine Learning (19)
- Materials (45)
- Materials Science (40)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (1)
- Nanotechnology (15)
- National Security (11)
- Net Zero (4)
- Neutron Science (20)
- Nuclear Energy (11)
- Partnerships (12)
- Physics (7)
- Polymers (13)
- Quantum Computing (19)
- Quantum Science (25)
- Renewable Energy (1)
- Security (9)
- Simulation (16)
- Software (1)
- Space Exploration (6)
- Statistics (1)
- Summit (43)
- Sustainable Energy (71)
- Transformational Challenge Reactor (3)
- Transportation (69)
Media Contacts
![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.
![An electromagnetic pulse, or EMP, can be triggered by a nuclear explosion in the atmosphere or by an electromagnetic generator in a vehicle or aircraft. Here’s the chain of reactions it could cause to harm electrical equipment on the ground. Credit: Andy Sproles/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/EMP_illust04_0.png?h=21cd0a81&itok=M9UNd-n0)
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.
![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.
![Hilda Klasky](/sites/default/files/styles/list_page_thumbnail/public/2023-11/Hilda%20Klasky.jpg?h=dbae05b8&itok=CPlpl2-D)
Hilda Klasky, an R&D staff member in the Scalable Biomedical Modeling group at ORNL, has been selected as a senior member of the Association of Computing Machinery, or ACM.
![Kim Tutin, founder and chief executive officer of Captis Aire, receives the EPA Green Chemistry Challenge Award. Credit: Eric Vance/USEPA](/sites/default/files/styles/list_page_thumbnail/public/2023-11/Tutin-EPA_0.jpg?h=64df17e9&itok=2IY3LRwI)
The founder of a startup company who is working with ORNL has won an Environmental Protection Agency Green Chemistry Challenge Award for a unique air pollution control technology.
![SM2ART team members receive the CAMX Combined Strength Award at the Georgia World Congress Center in Atlanta. Pictured here are, from left, ORNL’s Dan Coughlin, Sana Elyas, Halil Tekinalp, Amber Hubbard, Soydan Ozcan; University of Maine’s Susan MacKay, Angelina Buzzelli, Scott Tomlinson, Wesley Bisson; and ORNL’s Matt Korey and Vlastimil Kunc. Credit: University of Maine](/sites/default/files/styles/list_page_thumbnail/public/2023-11/IMG_4600-FINAL.jpg?h=4521fff0&itok=TjvLqEmG)
The Hub & Spoke Sustainable Materials & Manufacturing Alliance for Renewable Technologies, or SM2ART, program has been honored with the composites industry’s Combined Strength Award at the Composites and Advanced Materials Expo, or CAMX, 2023 in Atlanta. This distinction goes to the team that applies their knowledge, resources and talent to solve a problem by making the best use of composites materials.
![ORNL Composites Innovation staff members David Nuttall, left, and Vipin Kumar use additive manufacturing compression molding to produce a composite-based finished part in minutes. AMCM technology could accelerate decarbonization of the automobile and aerospace industries. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/2022-P14786_edited_0.jpg?h=d1b36030&itok=x2D-8p8a)
Researchers at ORNL are extending the boundaries of composite-based materials used in additive manufacturing, or AM. ORNL is working with industrial partners who are exploring AM, also known as 3D printing, as a path to higher production levels and fewer supply chain interruptions.
![Oak Ridge National Laboratory researchers took a connected and automated vehicle out of the virtual proving ground and onto a public road to determine energy savings when it is operated under predictive control strategies. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/CAV_image02_0.jpg?h=d1cb525d&itok=0cK78ri0)
ORNL researchers determined that a connected and automated vehicle, or CAV, traveling on a multilane highway with integrated traffic light timing control can maximize energy efficiency and achieve up to 27% savings.