![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (51)
- Biology and Soft Matter (1)
- Clean Energy (23)
- Climate and Environmental Systems (1)
- Fusion and Fission (4)
- Materials (13)
- Materials for Computing (2)
- National Security (13)
- Neutron Science (5)
- Nuclear Science and Technology (4)
- Quantum information Science (2)
- Supercomputing (26)
News Type
News Topics
- (-) Advanced Reactors (8)
- (-) Big Data (27)
- (-) Bioenergy (51)
- (-) Climate Change (51)
- (-) Composites (8)
- (-) Critical Materials (5)
- (-) Microscopy (20)
- (-) Security (11)
- 3-D Printing/Advanced Manufacturing (42)
- Artificial Intelligence (48)
- Biology (60)
- Biomedical (29)
- Biotechnology (12)
- Buildings (20)
- Chemical Sciences (27)
- Clean Water (14)
- Computer Science (87)
- Coronavirus (17)
- Cybersecurity (14)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Energy Storage (30)
- Environment (105)
- Exascale Computing (27)
- Fossil Energy (4)
- Frontier (25)
- Fusion (31)
- Grid (25)
- High-Performance Computing (45)
- Hydropower (5)
- Isotopes (28)
- ITER (2)
- Machine Learning (22)
- Materials (44)
- Materials Science (47)
- Mathematics (7)
- Mercury (7)
- Microelectronics (3)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (42)
- Net Zero (8)
- Neutron Science (49)
- Nuclear Energy (56)
- Partnerships (19)
- Physics (30)
- Polymers (8)
- Quantum Computing (21)
- Quantum Science (31)
- Renewable Energy (1)
- Simulation (32)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (31)
- Sustainable Energy (47)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
![DOE national laboratory scientists led by Oak Ridge National Laboratory have developed the first tree dataset of its kind, bridging molecular information about the poplar tree microbiome to ecosystem-level processes. Credit: Andy Sproles, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/plantTreeMicrobe04%20%281%29.jpg?h=55e40f5b&itok=OkZsQvEv)
A first-ever dataset bridging molecular information about the poplar tree microbiome to ecosystem-level processes has been released by a team of DOE scientists led by ORNL. The project aims to inform research regarding how natural systems function, their vulnerability to a changing climate and ultimately how plants might be engineered for better performance as sources of bioenergy and natural carbon storage.
![ORNL researcher Brian Williams prepares for a demonstration of a quantum key distribution system. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-03/Picture1_0.jpg?h=e4f440a4&itok=5uAWjLhR)
An experiment by researchers at the Department of Energy’s Oak Ridge National Laboratory demonstrated advanced quantum-based cybersecurity can be realized in a deployed fiber link.
![A multidirectorate group from ORNL attended AGU23 and came away inspired for the year ahead in geospatial, earth and climate science](/sites/default/files/styles/list_page_thumbnail/public/2024-02/MicrosoftTeams-image%20%2815%29%20%281%29.png?h=a5eb5da0&itok=gY269KaC)
ORNL scientists and researchers attended the annual American Geophysical Union meeting and came away inspired for the year ahead in geospatial, earth and climate science.
![ORNL’s Tomás Rush examines a culture as part of his research into the plant-fungus relationship that can help or hinder ecosystem health. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-01/2022-p09834_0.jpg?h=c6980913&itok=iHPtg7RM)
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
![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.
![ORNL researchers contributed biomass resources analysis to a new report that says carbon dioxide removal targets can be reached by 2050 using existing technology. Source: Jason Richards/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/Picture4_0.jpg?h=46e9bf6f&itok=Rvklgpoj)
Scientists from more than a dozen institutions have completed a first-of-its-kind high-resolution assessment of carbon dioxide removal potential in the United States, charting a path to achieve a net-zero greenhouse gas economy by 2050.
![Naval Academy midshipmen look at tiny particle fuels while touring ORNL. Credit: Lena Shoemaker/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/Picture1_0.jpg?h=4a7d1ed4&itok=wl4e6Nd3)
Nuclear engineering students from the United States Military Academy and United States Naval Academy are working with researchers at ORNL to complete design concepts for a nuclear propulsion rocket to go to space in 2027 as part of the Defense Advanced Research Projects Agency DRACO program.
![Frontier’s exascale power enables the Simple Cloud-Resolving E3SM Atmosphere Model to run years’ worth of climate simulations at unprecedented speed and scale. Credit: Ben Hillman/Sandia National Laboratories, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/E3SM-MMF.png?h=21f5ce54&itok=dsj1Hwvc)
A 19-member team of scientists from across the national laboratory complex won the Association for Computing Machinery’s 2023 Gordon Bell Special Prize for Climate Modeling for developing a model that uses the world’s first exascale supercomputer to simulate decades’ worth of cloud formations.
![Sangkeun “Matt” Lee received the Best Poster Award at the Institute of Electrical and Electronics Engineers 24th International Conference on Information Reuse and Integration.](/sites/default/files/styles/list_page_thumbnail/public/2023-12/MattLee.jpg?h=4a7d1ed4&itok=V-iscVnI)
Lee's paper at the August conference in Bellevue, Washington, combined weather and power outage data for three states – Texas, Michigan and Hawaii – and used a machine learning model to predict how extreme weather such as thunderstorms, floods and tornadoes would affect local power grids and to estimate the risk for outages. The paper relied on data from the National Weather Service and the U.S. Department of Energy’s Environment for Analysis of Geo-Located Energy Information, or EAGLE-I, database.
![ORNL researchers are establishing a digital thread of data, algorithms and workflows to produce a continuously updated model of earth systems.](/sites/default/files/styles/list_page_thumbnail/public/2023-11/MicrosoftTeams-image%20%2823%29_0.png?h=c6980913&itok=cK99Pg3y)
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.