Filter News
Area of Research
- (-) Clean Energy (125)
- (-) Materials (92)
- (-) Neutron Science (106)
- (-) Supercomputing (95)
- Advanced Manufacturing (10)
- Biological Systems (2)
- Biology and Environment (100)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (11)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (33)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials for Computing (13)
- Mathematics (1)
- National Security (31)
- Nuclear Science and Technology (41)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (9)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (10)
- (-) Artificial Intelligence (44)
- (-) Bioenergy (36)
- (-) Climate Change (36)
- (-) Neutron Science (109)
- (-) Nuclear Energy (27)
- (-) Partnerships (16)
- (-) Quantum Science (36)
- (-) Security (10)
- (-) Sustainable Energy (73)
- 3-D Printing/Advanced Manufacturing (92)
- Big Data (25)
- Biology (23)
- Biomedical (33)
- Biotechnology (6)
- Buildings (37)
- Chemical Sciences (34)
- Clean Water (11)
- Composites (19)
- Computer Science (111)
- Coronavirus (29)
- Critical Materials (21)
- Cybersecurity (15)
- Decarbonization (37)
- Energy Storage (90)
- Environment (81)
- Exascale Computing (23)
- Fossil Energy (3)
- Frontier (29)
- Fusion (9)
- Grid (43)
- High-Performance Computing (42)
- Hydropower (2)
- Irradiation (1)
- Isotopes (13)
- ITER (1)
- Machine Learning (21)
- Materials (105)
- Materials Science (102)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (31)
- Molten Salt (3)
- Nanotechnology (47)
- National Security (11)
- Net Zero (4)
- Physics (36)
- Polymers (23)
- Quantum Computing (20)
- Renewable Energy (1)
- Simulation (16)
- Software (1)
- Space Exploration (10)
- Statistics (1)
- Summit (43)
- Transformational Challenge Reactor (5)
- Transportation (74)
Media Contacts
![Hood Whitson, chief executive officer of Element3, and Cynthia Jenks, associate laboratory director for the Physical Sciences Directorate, shake hands during the Element3 licensing event at ORNL on May 3, 2024. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/2024-P07584.jpg?h=10d202d3&itok=YC2Uq_6B)
A collection of seven technologies for lithium recovery developed by scientists from ORNL has been licensed to Element3, a Texas-based company focused on extracting lithium from wastewater produced by oil and gas production.
![3D printed “Frankenstein design” collimator show the “scars” where the individual parts are joined](/sites/default/files/styles/list_page_thumbnail/public/2024-04/2024-P03207%20collimator%20with%20scars%20highlighted.jpg?h=036a71b7&itok=4aO2i21j)
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
![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.
![Image of circuitry representing AI.](/sites/default/files/styles/list_page_thumbnail/public/2023-11/ai-generic_0.jpg?h=7a6e80fd&itok=kM92w4I_)
Research performed by a team, including scientists from ORNL and Argonne National Laboratory, has resulted in a Best Paper Award at the 19th IEEE International Conference on eScience.
![A new method for analyzing climate models brings together information from various lines of evidence to represent Earth’s climate sensitivity. Credit: Jason Smith/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/climate-models.png?h=b655f2ac&itok=l5A4_3yJ)
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
![A small droplet of water is suspended in midair via an electrostatic levitator that lifts charged particles using an electric field that counteracts gravity. Credit: Iowa State University/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/droplet.png?h=ddb1ad0c&itok=3nblnUcm)
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
![2023 Battelle Distinguished Inventors](/sites/default/files/styles/list_page_thumbnail/public/2023-11/23-G07641-Battelle-Distinguished-Inventor-graphic-pcg_0.jpg?h=d1cb525d&itok=uhmqAKgT)
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
![ORNL’s Climate Change Science Institute and Georgia Tech co-hosted a Southeast Decarbonization Workshop in November 2023. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/GaWorkshop_Decarb_Nov2023.jpg?h=71976bb4&itok=2CsciglE)
ORNL's Climate Change Science Institute and the Georgia Institute of Technology hosted a Southeast Decarbonization Workshop in November that drew scientists and representatives from government, industry, non-profits and other organizations to
![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.