Filter News
Area of Research
- Advanced Manufacturing (5)
- Biological Systems (1)
- Biology and Environment (48)
- Building Technologies (1)
- Clean Energy (44)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (12)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (14)
- Fusion Energy (6)
- Isotopes (14)
- Materials (55)
- Materials Characterization (1)
- Materials for Computing (11)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (9)
- Neutron Science (10)
- Nuclear Science and Technology (17)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Supercomputing (35)
- Transportation Systems (1)
News Type
News Topics
- (-) Bioenergy (38)
- (-) Climate Change (44)
- (-) Computer Science (68)
- (-) Frontier (7)
- (-) Isotopes (23)
- (-) Materials Science (65)
- (-) Nuclear Energy (48)
- (-) Polymers (19)
- (-) Statistics (1)
- 3-D Printing/Advanced Manufacturing (61)
- Advanced Reactors (20)
- Artificial Intelligence (25)
- Big Data (26)
- Biology (45)
- Biomedical (23)
- Biotechnology (7)
- Buildings (34)
- Chemical Sciences (29)
- Clean Water (19)
- Composites (15)
- Coronavirus (21)
- Critical Materials (14)
- Cybersecurity (15)
- Decarbonization (27)
- Energy Storage (61)
- Environment (95)
- Exascale Computing (7)
- Fusion (24)
- Grid (31)
- High-Performance Computing (32)
- Hydropower (8)
- Irradiation (3)
- ITER (5)
- Machine Learning (17)
- Materials (75)
- Mathematics (5)
- Mercury (7)
- Microscopy (29)
- Molten Salt (6)
- Nanotechnology (30)
- National Security (25)
- Net Zero (4)
- Neutron Science (49)
- Partnerships (6)
- Physics (26)
- Quantum Computing (7)
- Quantum Science (16)
- Security (10)
- Simulation (16)
- Software (1)
- Space Exploration (11)
- Summit (10)
- Sustainable Energy (67)
- Transformational Challenge Reactor (1)
- Transportation (58)
Media Contacts
![Chelsea Chen, polymer physicist at ORNL, stands in front of an eight-channel potentiostat and temperature chamber used for battery and electrochemical testing. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-02/2023-P19202.jpg?h=c6980913&itok=Q-GNSOOO)
Chelsea Chen, a polymer physicist at ORNL, is studying ion transport in solid electrolytes that could help electric vehicle battery charges last longer.
![Moriano awarded early career fellowship for underrepresented groups](/sites/default/files/styles/list_page_thumbnail/public/2024-02/Pablo-Moriano-Pic.jpg?h=4d38fa4a&itok=QTrNiMK-)
Pablo Moriano, a research scientist in the Computer Science and Mathematics Division at ORNL, was selected as a member of the 2024 Class of MGB-SIAM Early Career Fellows.
![: 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.
![Ilenne Del Valle is merging her expertise in synthetic biology and environmental science to develop new technologies to help scientists better understand and engineer ecosystems for climate resilience. Credit: Carlos Jones/ORNL, U.S. Dept of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-02/2023-p19402.jpg?h=036a71b7&itok=WlSmSAEH)
Ilenne Del Valle is merging her expertise in synthetic biology and environmental science to develop new technologies to help scientists better understand and engineer ecosystems for climate resilience.
![Using a better modeling framework, with data collected from Mississippi Delta marshes, scientists are able to improve the predictions of methane and other greenhouse gas emissions. Credit: Matthew Berens/ORNL, U.S Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-01/picture1_0.jpg?itok=uQVJerN0)
Scientists at the Department of Energy’s Oak Ridge National Laboratory are using a new modeling framework in conjunction with data collected from marshes in the Mississippi Delta to improve predictions of climate-warming methane and nitrous oxide.
![Rigoberto Advincula is a UT-ORNL Governor's Chair and leads the lab's Macromolecular Nanomaterials group. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-01/advincula-headshot-wide.jpg?h=8f9cfe54&itok=8THSgJEp)
Rigoberto “Gobet” Advincula, a scientist at the Department of Energy’s Oak Ridge National Laboratory, has been appointed a Fellow of the Institute of Materials, Minerals and Mining.
![Rigoberto “Gobet” Advincula, a scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a 2023 Fellow of the National Academy of Inventors, or NAI.](/sites/default/files/styles/list_page_thumbnail/public/2023-12/2020-P00191.jpg?h=8f9cfe54&itok=43lhaceG)
Rigoberto “Gobet” Advincula, a scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a 2023 Fellow of the National Academy of Inventors. Advincula has been recognized for his 14 patents and 21 published filings related to nanomaterials, smart coatings and films, solid-state device fabrication and chemical additives.
![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)
![Debjani Pal’s photo “Three-Dimensional Breast Cancer Spheroids” won the Director’s Choice Award in Oak Ridge National Laboratory’s Art of Science photo competition. It will be displayed at the American Museum of Science and Energy in Oak Ridge, Tenn. Credit: Debjani Pal/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/ArtofSci23_1700166411096.png?h=a06d9019&itok=lbq0KEuH)
![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.