Filter News
Area of Research
- Advanced Manufacturing (5)
- Biological Systems (1)
- Biology and Environment (30)
- Building Technologies (1)
- Clean Energy (39)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (12)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (6)
- Isotopes (7)
- Materials (47)
- Materials Characterization (1)
- Materials for Computing (11)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (5)
- Neutron Science (10)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Supercomputing (30)
- Transportation Systems (1)
News Type
News Topics
- (-) Bioenergy (20)
- (-) Climate Change (25)
- (-) Computer Science (55)
- (-) Frontier (4)
- (-) Isotopes (12)
- (-) Materials Science (51)
- (-) Nuclear Energy (33)
- (-) Polymers (12)
- 3-D Printing/Advanced Manufacturing (47)
- Advanced Reactors (18)
- Artificial Intelligence (21)
- Big Data (17)
- Biology (24)
- Biomedical (15)
- Biotechnology (3)
- Buildings (23)
- Chemical Sciences (20)
- Clean Water (12)
- Composites (13)
- Coronavirus (15)
- Critical Materials (12)
- Cybersecurity (9)
- Decarbonization (9)
- Energy Storage (46)
- Environment (56)
- Exascale Computing (4)
- Fusion (17)
- Grid (23)
- High-Performance Computing (23)
- Hydropower (6)
- Irradiation (3)
- ITER (3)
- Machine Learning (11)
- Materials (67)
- Mathematics (1)
- Mercury (3)
- Microscopy (20)
- Molten Salt (6)
- Nanotechnology (23)
- National Security (10)
- Net Zero (1)
- Neutron Science (40)
- Partnerships (6)
- Physics (10)
- Quantum Computing (5)
- Quantum Science (14)
- Security (4)
- Simulation (10)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Summit (8)
- Sustainable Energy (50)
- Transformational Challenge Reactor (1)
- Transportation (43)
Media Contacts
Forrest Hoffman, a distinguished scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a senior member of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
Kate Evans, director for the Computational Sciences and Engineering Division at ORNL, has been awarded the 2024 Society for Industrial and Applied Mathematicians Activity Group on Mathematics of Planet Earth Prize.
Anuj J. Kapadia, who heads the Advanced Computing Methods for Health Sciences Section at ORNL, has been elected as president of the Southeastern Chapter of the American Association of Physicists in Medicine.
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
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 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.
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 “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. 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.
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.