![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (25)
- Clean Energy (38)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (8)
- Materials (39)
- Materials for Computing (5)
- National Security (15)
- Neutron Science (46)
- Nuclear Science and Technology (7)
- Quantum information Science (2)
- Supercomputing (46)
News Type
News Topics
- (-) Advanced Reactors (12)
- (-) Artificial Intelligence (33)
- (-) Biomedical (18)
- (-) Clean Water (2)
- (-) Computer Science (63)
- (-) Environment (44)
- (-) Isotopes (22)
- (-) Machine Learning (14)
- (-) Neutron Science (56)
- (-) Space Exploration (3)
- (-) Transformational Challenge Reactor (4)
- 3-D Printing/Advanced Manufacturing (50)
- Big Data (11)
- Bioenergy (24)
- Biology (22)
- Biotechnology (7)
- Buildings (16)
- Chemical Sciences (34)
- Climate Change (25)
- Composites (11)
- Coronavirus (17)
- Critical Materials (11)
- Cybersecurity (18)
- Decarbonization (23)
- Education (3)
- Element Discovery (1)
- Energy Storage (46)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (17)
- Fusion (14)
- Grid (18)
- High-Performance Computing (33)
- Irradiation (1)
- ITER (2)
- Materials (67)
- Materials Science (54)
- Mercury (2)
- Microelectronics (1)
- Microscopy (18)
- Molten Salt (2)
- Nanotechnology (28)
- National Security (21)
- Net Zero (4)
- Nuclear Energy (34)
- Partnerships (30)
- Physics (24)
- Polymers (13)
- Quantum Computing (10)
- Quantum Science (28)
- Renewable Energy (1)
- Security (11)
- Simulation (11)
- Software (1)
- Statistics (1)
- Summit (22)
- Sustainable Energy (37)
- Transportation (32)
Media Contacts
![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 Associate Laboratory Director for Computing and Computational Sciences. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-01/tourassi.jpg?h=55be468c&itok=AvEfpuPK)
Gina Tourassi, associate laboratory director for computing and computational sciences at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory, has been named a fellow of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
![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.
![Environmental Sciences Division Director Eric Pierce presented the organization’s 2023 Distinguished Achievement awards at a December 7 all-hands meeting. From left: Megan Johnson, Michael Jones, Maria Colberg, Rachel Pilla, Eric Pierce, Rocio Uria-Martinez, Gbadebo Oladosu and Paul Leiby. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/ESA%20Awards%202023_2023-P19191_plaqueblur_0.jpg?h=8f9cfe54&itok=4BwW5XAY)
ORNL Environmental Sciences Division Director Eric Pierce presented the division’s 2023 Distinguished Achievement Awards at the organization’s December all-hands meeting.
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%.
![Mat Doucet, left, of Oak Ridge National Laboratory and Sarah Blair of the National Renewable Energy Lab used neutrons to understand an electrochemical way to produce ammonia](/sites/default/files/styles/list_page_thumbnail/public/2023-12/electrothumbnail_0.jpg?h=8ec2c545&itok=znghlL0A)
Scientists from Stanford University and the Department of Energy’s Oak Ridge National Laboratory are turning air into fertilizer without leaving a carbon footprint. Their discovery could deliver a much-needed solution to help meet worldwide carbon-neutral goals by 2050.
![Gina Tourassi. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/2023-P18395%5B30%5D_1.jpg?h=8f9cfe54&itok=pTv9bdLA)
Effective Dec. 4, Gina Tourassi will assume responsibilities as associate laboratory director for the Computing and Computational Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory.
![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.
![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
![Conceptual art depicts machine learning finding an ideal material for capacitive energy storage. Its carbon framework (black) has functional groups with oxygen (pink) and nitrogen (turquoise). Credit: Tao Wang/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/Press%20release%20image_0.jpg?h=706c9a24&itok=zX1lC5ud)
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.