Filter News
Area of Research
- (-) Clean Energy (66)
- (-) National Security (22)
- (-) Supercomputing (67)
- Advanced Manufacturing (2)
- Biology and Environment (76)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (7)
- Isotopes (1)
- Materials (82)
- Materials for Computing (8)
- Mathematics (1)
- Neutron Science (29)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Transportation Systems (1)
News Topics
- (-) Advanced Reactors (8)
- (-) Artificial Intelligence (49)
- (-) Biotechnology (7)
- (-) Climate Change (38)
- (-) Decarbonization (36)
- (-) Nanotechnology (15)
- (-) Physics (8)
- 3-D Printing/Advanced Manufacturing (82)
- Big Data (27)
- Bioenergy (31)
- Biology (22)
- Biomedical (22)
- Buildings (37)
- Chemical Sciences (16)
- Clean Water (8)
- Composites (17)
- Computer Science (115)
- Coronavirus (27)
- Critical Materials (12)
- Cybersecurity (28)
- Energy Storage (75)
- Environment (72)
- Exascale Computing (23)
- Fossil Energy (2)
- Frontier (28)
- Fusion (3)
- Grid (46)
- High-Performance Computing (41)
- Hydropower (2)
- Isotopes (1)
- Machine Learning (27)
- Materials (46)
- Materials Science (41)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (1)
- National Security (37)
- Net Zero (4)
- Neutron Science (22)
- Nuclear Energy (14)
- Partnerships (15)
- Polymers (13)
- Quantum Computing (19)
- Quantum Science (26)
- Renewable Energy (1)
- Security (17)
- Simulation (16)
- Software (1)
- Space Exploration (6)
- Statistics (1)
- Summit (43)
- Sustainable Energy (71)
- 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 collaboration between Oak Ridge National Laboratory and Caterpillar Inc. will investigate using methanol as an alternative fuel source for marine vessels. Members of the research team kicked off the project with the installation of a 6-cylinder engine at the Department of Energy’s National Transportation Research Center at ORNL.](/sites/default/files/styles/list_page_thumbnail/public/2023-12/2023-P19061%5B26%5D.jpg?h=c6980913&itok=F0MRmlmI)
ORNL and Caterpillar Inc. have entered into a cooperative research and development agreement, or CRADA, to investigate using methanol as an alternative fuel source for four-stroke internal combustion marine engines.
![Eric Nafziger, a technical staff member at the National Transportation Research Center at Oak Ridge National Laboratory’s Hardin Valley Campus, supports the installation of the largest alternative fuels research engines for marine and rail in the U.S. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/2023-P16593.jpeg?h=a73d1746&itok=jpdVXbUY)
Within the Department of Energy’s National Transportation Research Center at ORNL’s Hardin Valley Campus, scientists investigate engines designed to help the U.S. pivot to a clean mobility future.
![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.