![Man in blue button down shirt poses outside for a picture with his arms crossed.](/sites/default/files/styles/featured_square_large/public/2024-07/Troy_Carter_headshot.jpeg?h=8a7fc05e&itok=VFmZIzHo)
Filter News
Area of Research
- Advanced Manufacturing (5)
- Biological Systems (2)
- Biology and Environment (73)
- Clean Energy (63)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (23)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (66)
- Materials for Computing (11)
- National Security (10)
- Neutron Science (15)
- Nuclear Science and Technology (13)
- Quantum information Science (2)
- Supercomputing (68)
News Topics
- (-) Big Data (55)
- (-) Bioenergy (92)
- (-) Composites (26)
- (-) Emergency (2)
- (-) Fusion (55)
- (-) Irradiation (3)
- (-) Mercury (12)
- (-) Microscopy (51)
- (-) Molten Salt (8)
- (-) Polymers (33)
- (-) Summit (57)
- 3-D Printing/Advanced Manufacturing (122)
- Advanced Reactors (34)
- Artificial Intelligence (91)
- Biology (99)
- Biomedical (58)
- Biotechnology (22)
- Buildings (57)
- Chemical Sciences (65)
- Clean Water (29)
- Climate Change (100)
- Computer Science (189)
- Coronavirus (46)
- Critical Materials (26)
- Cybersecurity (35)
- Decarbonization (80)
- Education (4)
- Element Discovery (1)
- Energy Storage (109)
- Environment (195)
- Exascale Computing (37)
- Fossil Energy (6)
- Frontier (42)
- Grid (63)
- High-Performance Computing (85)
- Hydropower (11)
- Isotopes (53)
- ITER (7)
- Machine Learning (48)
- Materials (144)
- Materials Science (141)
- Mathematics (8)
- Microelectronics (3)
- Nanotechnology (60)
- National Security (62)
- Net Zero (14)
- Neutron Science (131)
- Nuclear Energy (109)
- Partnerships (44)
- Physics (61)
- Quantum Computing (34)
- Quantum Science (69)
- Renewable Energy (2)
- Security (24)
- Simulation (48)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Sustainable Energy (126)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
![: ORNL climate modeling expertise contributed to an AI-backed model that assesses global emissions of ammonia from croplands now and in a warmer future, while identifying mitigation strategies. This map highlights croplands around the world. Credit: U.S. Geological Survey](/sites/default/files/styles/list_page_thumbnail/public/2024-02/global_croplands_usgs_globe-4g_1.png?h=4016a495&itok=rb8eHyvK)
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
![NSBP Annual Conference attendees came to ORNL on Nov. 10, 2023. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-01/2023-p17868_1.jpg?h=8f9cfe54&itok=dHzfjRR6)
ORNL and the University of Tennessee, Knoxville, co-hosted the 2023 National Society of Black Physicists Annual Conference with the theme "Frontiers in Physics: From Quantum to Materials to the Cosmos.” As part of the three-day conference held near UT, attendees took a 30-mile trip to the ORNL campus for facility tours, science talks and workshops.
![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.
![Researchers at Corning have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.](/sites/default/files/styles/list_page_thumbnail/public/2024-01/picture2.png?h=342db57d&itok=yUdVp1Za)
Corning uses neutron scattering to study the stability of different types of glass. Recently, researchers for the company have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.
![Caption: Jaswinder Sharma makes battery coin cells with a lightweight current collector made of thin layers of aligned carbon fibers in a polymer with carbon nanotubes. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-01/sharma1_1.jpg?h=f7dae89e&itok=JiSsMewF)
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
![Pictured is Venugopal Koikal Varma, group leader for ORNL’s Remote Systems group. ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/2019-P02820_1.jpg?h=49ab6177&itok=Tsgk6pwU)
ORNL will lead a new DOE-funded project designed to accelerate bringing fusion energy to the grid. The Accelerate award focuses on developing a fusion power plant design concept that supports remote maintenance and repair methods for the plasma-facing components in fusion power plants.
![Howard Wilson and Gary Staebler](/sites/default/files/styles/list_page_thumbnail/public/2023-12/Wilson-Staebler_0.png?h=ca9e32dd&itok=fLUb03Ia)
Two fusion energy leaders have joined ORNL in the Fusion and Fission Energy and Science Directorate, or FFESD.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.
![Alex May, pictured above, is the first and only full-time data curator at the Department of Energy’s Oak Ridge Leadership Computing Facility. Credit: Carlos Jones and Wikimedia Commons, background/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/2023-P18433%20%281%29_0.jpg?h=8f9cfe54&itok=DQKdmnrN)
![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.