Filter News
Area of Research
- (-) Biology and Soft Matter (1)
- (-) Clean Energy (148)
- (-) National Security (42)
- (-) Supercomputing (79)
- Advanced Manufacturing (10)
- Biology and Environment (81)
- Building Technologies (2)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (13)
- Fusion Energy (10)
- Isotopes (5)
- Materials (97)
- Materials Characterization (2)
- Materials for Computing (15)
- Materials Under Extremes (1)
- Mathematics (1)
- Neutron Science (26)
- Nuclear Science and Technology (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Sensors and Controls (2)
News Topics
- (-) Advanced Reactors (8)
- (-) Artificial Intelligence (49)
- (-) Climate Change (39)
- (-) Cybersecurity (28)
- (-) Grid (46)
- (-) Materials (46)
- (-) Security (17)
- (-) Sustainable Energy (71)
- 3-D Printing/Advanced Manufacturing (82)
- Big Data (27)
- Bioenergy (31)
- Biology (22)
- Biomedical (22)
- Biotechnology (7)
- Buildings (37)
- Chemical Sciences (17)
- Clean Water (8)
- Composites (17)
- Computer Science (115)
- Coronavirus (27)
- Critical Materials (12)
- Decarbonization (37)
- Energy Storage (75)
- Environment (73)
- Exascale Computing (23)
- Fossil Energy (2)
- Frontier (28)
- Fusion (3)
- High-Performance Computing (41)
- Hydropower (2)
- Isotopes (1)
- Machine Learning (27)
- Materials Science (41)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (1)
- Nanotechnology (15)
- National Security (37)
- Net Zero (4)
- Neutron Science (22)
- Nuclear Energy (14)
- Partnerships (15)
- Physics (8)
- Polymers (13)
- Quantum Computing (19)
- Quantum Science (26)
- Renewable Energy (1)
- Simulation (16)
- Software (1)
- Space Exploration (6)
- Statistics (1)
- Summit (43)
- Transformational Challenge Reactor (3)
- Transportation (71)
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.
![A new method for analyzing climate models brings together information from various lines of evidence to represent Earth’s climate sensitivity. Credit: Jason Smith/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/climate-models.png?h=b655f2ac&itok=l5A4_3yJ)
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
![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.
![Frontier, the fastest supercomputer in the world, provides expansive and energy-efficient power, which gives scientists the capability to train large AI models in a responsible way.](/sites/default/files/styles/list_page_thumbnail/public/2023-11/Frontier.jpg?h=c6980913&itok=Xugo8LTI)
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
![ORNL’s Climate Change Science Institute and Georgia Tech co-hosted a Southeast Decarbonization Workshop in November 2023. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/GaWorkshop_Decarb_Nov2023.jpg?h=71976bb4&itok=2CsciglE)
ORNL's Climate Change Science Institute and the Georgia Institute of Technology hosted a Southeast Decarbonization Workshop in November that drew scientists and representatives from government, industry, non-profits and other organizations to
![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.
![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.