Filter News
Area of Research
- (-) Materials (16)
- (-) Supercomputing (48)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (75)
- Biology and Soft Matter (1)
- Clean Energy (52)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Fusion and Fission (7)
- Materials for Computing (1)
- National Security (17)
- Neutron Science (10)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (21)
- (-) Bioenergy (5)
- (-) Composites (2)
- (-) Cybersecurity (2)
- (-) Environment (18)
- (-) Exascale Computing (12)
- (-) Frontier (13)
- Big Data (13)
- Biology (6)
- Biomedical (8)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (7)
- Clean Water (2)
- Climate Change (12)
- Computer Science (47)
- Coronavirus (7)
- Decarbonization (4)
- Energy Storage (7)
- Fusion (2)
- Grid (3)
- High-Performance Computing (20)
- Isotopes (6)
- Machine Learning (7)
- Materials (21)
- Materials Science (20)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (9)
- National Security (3)
- Net Zero (1)
- Neutron Science (14)
- Nuclear Energy (11)
- Partnerships (3)
- Physics (13)
- Polymers (4)
- Quantum Computing (11)
- Quantum Science (10)
- Security (2)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Sustainable Energy (5)
- Transformational Challenge Reactor (2)
- Transportation (7)
Media Contacts
![The AI agent, incorporating a language model-based molecular generator and a graph neural network-based molecular property predictor, processes a set of user-provided molecules (green) and produces/suggests new molecules (red) with desired chemical/physical properties (i.e. excitation energy). Image credit: Pilsun You, Jason Smith/ORNL, U.S. DOE](/sites/default/files/styles/list_page_thumbnail/public/2023-12/image001_0.png?h=16ec4b77&itok=KtCjteSq)
A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules.
![Image of circuitry representing AI.](/sites/default/files/styles/list_page_thumbnail/public/2023-11/ai-generic_0.jpg?h=7a6e80fd&itok=kM92w4I_)
Research performed by a team, including scientists from ORNL and Argonne National Laboratory, has resulted in a Best Paper Award at the 19th IEEE International Conference on eScience.
![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.
![From left are Analytics and AI Methods at Scale group leader Feiyi Wang, technical lead Mike Matheson and research scientist Hao Lu.](/sites/default/files/styles/list_page_thumbnail/public/2023-11/2023-P12429_0.jpg?h=55be468c&itok=tajHF4hU)
The team that built Frontier set out to break the exascale barrier, but the supercomputer’s record-breaking didn’t stop there.
![Staff working on construction and facility updates in preparation for the Frontier, the world’s first exascale supercomputer.](/sites/default/files/styles/list_page_thumbnail/public/2023-11/MicrosoftTeams-image_0.png?h=c6980913&itok=_zXnovna)
Making room for the world’s first exascale supercomputer took some supersized renovations.
![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.
![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 organocatalyst deconstructs mixed plastics at different temperatures, which facilitates recovering their individual monomers separately, in reusable form. Credit: Jill Hemman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-10/23-G05683_MixedPlasticRecycling_proof2_0.png?h=27870e4a&itok=jjYga9GD)
Little of the mixed consumer plastics thrown away or placed in recycle bins actually ends up being recycled. Nearly 90% is buried in landfills or incinerated at commercial facilities that generate greenhouse gases and airborne toxins. Neither outcome is ideal for the environment.
![Attendees of SMC23 pose for their annual group photo in downtown Knoxville, TN.](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2023-P12048.jpg?h=b18108c1&itok=nPUCBfNi)
ORNL hosted its annual Smoky Mountains Computational Sciences and Engineering Conference in person for the first time since the COVID-19 pandemic.
![Members of the Analytics and AI Methods at Scale group in the National Center for Computational Sciences at ORNL developed the mixed-precision performance benchmarking tool OpenMxP. From left are group leader Feiyi Wang, technical lead Mike Matheson and research scientist Hao Lu. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2023-P12429_0.jpg?h=8f9cfe54&itok=lGABGcYq)
As Frontier, the world’s first exascale supercomputer, was being assembled at the Oak Ridge Leadership Computing Facility in 2021, understanding its performance on mixed-precision calculations remained a difficult prospect.