Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (9)
- Building Technologies (3)
- Clean Energy (61)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Fusion and Fission (7)
- Fusion Energy (6)
- Isotopes (3)
- Materials (14)
- Materials for Computing (2)
- National Security (3)
- Neutron Science (5)
- Nuclear Science and Technology (3)
- Supercomputing (10)
- Transportation Systems (2)
News Type
News Topics
- (-) Artificial Intelligence (17)
- (-) Biomedical (19)
- (-) Buildings (28)
- (-) Fusion (16)
- (-) Net Zero (3)
- (-) Quantum Computing (5)
- (-) Security (7)
- (-) Transportation (47)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (15)
- Big Data (22)
- Bioenergy (32)
- Biology (38)
- Biotechnology (7)
- Chemical Sciences (18)
- Clean Water (19)
- Climate Change (37)
- Composites (11)
- Computer Science (52)
- Coronavirus (17)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (23)
- Energy Storage (45)
- Environment (80)
- Exascale Computing (4)
- Frontier (4)
- Grid (27)
- High-Performance Computing (20)
- Hydropower (8)
- Irradiation (2)
- Isotopes (15)
- ITER (4)
- Machine Learning (15)
- Materials (42)
- Materials Science (45)
- Mathematics (5)
- Mercury (7)
- Microscopy (20)
- Molten Salt (5)
- Nanotechnology (18)
- National Security (18)
- Neutron Science (35)
- Nuclear Energy (33)
- Partnerships (1)
- Physics (20)
- Polymers (14)
- Quantum Science (12)
- Simulation (11)
- Space Exploration (10)
- Statistics (1)
- Summit (8)
- Sustainable Energy (57)
Media Contacts
![Four thermometers are pictured across the top of the image with an image of a city in the bottom left, with a color block version of that city in the bottom right.](/sites/default/files/styles/list_page_thumbnail/public/2024-06/buildingsTool08%20%281%29.jpg?h=d1cb525d&itok=xyBuoRLt)
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
![Man in blue shirt and grey pants holds laptop and poses next to a green plant in a lab.](/sites/default/files/styles/list_page_thumbnail/public/2024-06/2024-P09065.jpg?h=036a71b7&itok=szEF_SdO)
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
![Blue background with three rectangles. The first and third silver rectangles are showing the inside metal part of a fridge with small alternating horizontal rectangles going down the side in darker grey/silver.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/refrigeration01.jpg?h=d1cb525d&itok=5PdFsnAa)
A technology developed by Oak Ridge National Laboratory works to keep food refrigerated with phase change materials, or PCMs, while reducing carbon emissions by 30%.
![Mohamad Zineddin](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Dr%20Z.png?h=2a35d14f&itok=2ZMLdTMr)
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
![Howard Wilson](/sites/default/files/styles/list_page_thumbnail/public/2024-05/2023-P12175.jpg?h=036a71b7&itok=t4j0jgf2)
Howard Wilson explores how to accelerate the delivery of fusion energy as Fusion Pilot Plant R&D lead at ORNL. Wilson envisions a fusion hub with ORNL at the center, bringing together the lab's unique expertise and capabilities with domestic and international partnerships to realize the potential of fusion energy.
![As a chemical engineer focusing on low-carbon energy sources like hydrogen, Cheekatamarla’s research at ORNL supports the deployment of clean energy technologies in buildings and industries. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/2023-P16585.jpg?h=c6980913&itok=5yBrwn_3)
Cheekatamarla is a researcher in the Multifunctional Equipment Integration group with previous experience in product deployment. He is researching alternative energy sources such as hydrogen for cookstoves and his research supports the decarbonization of building technologies.
![ORNL researchers achieved the highest wireless power transfer level for a light-duty passenger vehicle when the team demonstrated a 100-kW wireless power transfer to an EV using ORNL’s patented polyphase electromagnetic coupling coil. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-03/2024-P00658%20%281%29.jpg?h=c6980913&itok=2gqTSOqI)
A team of researchers at ORNL demonstrated that a light-duty passenger electric vehicle can be wirelessly charged at 100-kW with 96% efficiency using polyphase electromagnetic coupling coils with rotating magnetic fields.
![Fengqi “Frank” Li brings computational and architectural expertise to building energy modeling in ORNL’s Grid Interactive Controls group. Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-02/2023-P18998.jpg?h=036a71b7&itok=ebHvD0wy)
Although he built his career around buildings, Fengqi “Frank” Li likes to break down walls. Li was trained as an architect, but he doesn’t box himself in. Currently he is working as a computational developer at ORNL. But Li considers himself a designer. To him, that’s less a box than a plane – a landscape scattered with ideas, like destinations on a map that can be connected in different ways.
![New system combines human, artificial intelligence to improve experimentation](/sites/default/files/styles/list_page_thumbnail/public/2024-02/Screenshot%202024-02-14%20at%2011.37.46%20AM%20%281%29.png?h=e621a1e2&itok=N3lsBqrh)
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
![: 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.