Filter News
Area of Research
- (-) Computational Engineering (1)
- (-) Neutron Science (5)
- Advanced Manufacturing (1)
- Biology and Environment (14)
- Clean Energy (36)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Fusion and Fission (18)
- Fusion Energy (9)
- Isotopes (2)
- Materials (17)
- National Security (17)
- Nuclear Science and Technology (27)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (24)
News Topics
- (-) Big Data (2)
- (-) Machine Learning (4)
- (-) Nuclear Energy (2)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (6)
- Bioenergy (3)
- Biology (1)
- Biomedical (7)
- Chemical Sciences (2)
- Clean Water (3)
- Climate Change (1)
- Computer Science (9)
- Coronavirus (3)
- Decarbonization (1)
- Energy Storage (4)
- Environment (5)
- Fossil Energy (1)
- High-Performance Computing (1)
- Materials (8)
- Materials Science (10)
- Mathematics (2)
- Microscopy (2)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (57)
- Physics (2)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (2)
- Security (1)
- Space Exploration (2)
- Summit (2)
- Transportation (3)
Media Contacts
![The DEMAND single crystal diffractometer at the High Flux Isotope Reactor, or HFIR, is the latest neutron instrument at the Department of Energy’s Oak Ridge National Laboratory to be equipped with machine learning-assisted software, called ReTIA. Credit: Jeremy Rumsey/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/DEMAND%20thumbnail%20image_0.jpg?h=c673cd1c&itok=5YAVwaP6)
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
![Coronavirus graphic](/sites/default/files/styles/list_page_thumbnail/public/2020-04/covid19_jh_0.png?h=d1cb525d&itok=PyngFUZw)
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
![Nuclear — Seeing inside particles](/sites/default/files/styles/list_page_thumbnail/public/2020-04/Kernels-nuclear%20materials-2_0.jpg?h=ae51ec69&itok=_AWiopZz)
Oak Ridge National Laboratory researchers working on neutron imaging capabilities for nuclear materials have developed a process for seeing the inside of uranium particles – without cutting them open.
![Catherine Schuman during Hour of Code](/sites/default/files/styles/list_page_thumbnail/public/2019-12/IMG_0136_0.jpg?h=71976bb4&itok=56CtnbAH)
ORNL computer scientist Catherine Schuman returned to her alma mater, Harriman High School, to lead Hour of Code activities and talk to students about her job as a researcher.
![Computing—Routing out the bugs](/sites/default/files/styles/list_page_thumbnail/public/2019-11/VA-HealthIT-2019-P04263.jpg?h=784bd909&itok=uwv091uK)
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool
![ORNL collaborator Hsiu-Wen Wang led the neutron scattering experiments at the Spallation Neutron Source to probe complex electrolyte solutions that challenge nuclear waste processing at Hanford and other sites. Credit: Genevieve Martin/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2019-05/2019-P01240_0.jpg?h=c6980913&itok=RLLi1M-g)
Researchers at the Department of Energy’s Oak Ridge National Laboratory, Pacific Northwest National Laboratory and Washington State University teamed up to investigate the complex dynamics of low-water liquids that challenge nuclear waste processing at federal cleanup sites.