Filter News
Area of Research
- (-) Biology and Environment (44)
- (-) Neutron Science (35)
- (-) Supercomputing (134)
- Advanced Manufacturing (6)
- Building Technologies (1)
- Clean Energy (70)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (14)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (92)
- Materials for Computing (15)
- Mathematics (1)
- National Security (28)
- Nuclear Science and Technology (22)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (8)
News Topics
- (-) Advanced Reactors (3)
- (-) Artificial Intelligence (43)
- (-) Composites (5)
- (-) Computer Science (107)
- (-) Coronavirus (24)
- (-) Frontier (29)
- (-) Isotopes (2)
- (-) Microscopy (17)
- (-) Physics (17)
- (-) Space Exploration (5)
- 3-D Printing/Advanced Manufacturing (17)
- Big Data (26)
- Bioenergy (52)
- Biology (76)
- Biomedical (36)
- Biotechnology (14)
- Buildings (6)
- Chemical Sciences (15)
- Clean Water (13)
- Climate Change (51)
- Critical Materials (4)
- Cybersecurity (9)
- Decarbonization (24)
- Energy Storage (17)
- Environment (109)
- Exascale Computing (24)
- Fossil Energy (1)
- Fusion (2)
- Grid (7)
- High-Performance Computing (52)
- Hydropower (8)
- Machine Learning (20)
- Materials (36)
- Materials Science (38)
- Mathematics (3)
- Mercury (7)
- Molten Salt (1)
- Nanotechnology (24)
- National Security (9)
- Net Zero (3)
- Neutron Science (101)
- Nuclear Energy (8)
- Partnerships (5)
- Polymers (5)
- Quantum Computing (19)
- Quantum Science (29)
- Renewable Energy (1)
- Security (6)
- Simulation (23)
- Software (1)
- Summit (46)
- Sustainable Energy (36)
- Transformational Challenge Reactor (1)
- Transportation (12)
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.
![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.
![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
![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.
![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.