Filter News
Area of Research
- (-) Biology and Environment (69)
- (-) Clean Energy (47)
- (-) Neutron Science (14)
- Advanced Manufacturing (3)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (29)
- Fusion Energy (12)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (54)
- Materials for Computing (5)
- Mathematics (1)
- National Security (24)
- Nuclear Science and Technology (38)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (2)
- Supercomputing (76)
News Topics
- (-) Advanced Reactors (6)
- (-) Artificial Intelligence (20)
- (-) Biotechnology (16)
- (-) Climate Change (59)
- (-) Exascale Computing (6)
- (-) Microscopy (17)
- (-) Nuclear Energy (9)
- 3-D Printing/Advanced Manufacturing (82)
- Big Data (15)
- Bioenergy (68)
- Biology (81)
- Biomedical (30)
- Buildings (36)
- Chemical Sciences (20)
- Clean Water (21)
- Composites (19)
- Computer Science (50)
- Coronavirus (27)
- Critical Materials (9)
- Cybersecurity (9)
- Decarbonization (48)
- Energy Storage (76)
- Environment (141)
- Fossil Energy (3)
- Frontier (6)
- Fusion (2)
- Grid (41)
- High-Performance Computing (25)
- Hydropower (9)
- Isotopes (2)
- Machine Learning (16)
- Materials (49)
- Materials Science (50)
- Mathematics (5)
- Mercury (10)
- Microelectronics (1)
- Molten Salt (1)
- Nanotechnology (20)
- National Security (9)
- Net Zero (5)
- Neutron Science (100)
- Partnerships (12)
- Physics (11)
- Polymers (13)
- Quantum Computing (1)
- Quantum Science (8)
- Renewable Energy (2)
- Security (8)
- Simulation (17)
- Space Exploration (6)
- Statistics (1)
- Summit (17)
- Sustainable Energy (93)
- Transformational Challenge Reactor (3)
- Transportation (68)
Media Contacts
![Researchers used the open-source Community Earth System Model to simulate the effects that extreme climatic conditions have on processes like land carbon storage. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/wildfire_0.jpg?h=175bab9e&itok=sbjoOQiV)
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
![Scientists conducted microbial DNA sampling at a Yellowstone National Park hot spring for a study sponsored by DOE’s Biological and Environmental Research program, the National Science Foundation and NASA. Credit: Mircea Podar/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/hot-springs_0.png?h=e68b456d&itok=ioNfSScN)
Oak Ridge National Laboratory scientists studied hot springs on different continents and found similarities in how some microbes adapted despite their geographic diversity.
![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.
![Madhavi Martin portrait image](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P09857_0.jpg?h=036a71b7&itok=4QOEKn5k)
Madhavi Martin brings a physicist’s tools and perspective to biological and environmental research at the Department of Energy’s Oak Ridge National Laboratory, supporting advances in bioenergy, soil carbon storage and environmental monitoring, and even helping solve a murder mystery.
![ORNL’s Fernanda Santos examines a soil sample at an NGEE Arctic field site in the Alaskan tundra in June 2022. Credit: Amy Breen, University of Alaska Fairbanks.](/sites/default/files/styles/list_page_thumbnail/public/2023-08/Fernanda_Nome_June2022.jpg?h=06de31ac&itok=VGxKV_uY)
Wildfires are an ancient force shaping the environment, but they have grown in frequency, range and intensity in response to a changing climate. At ORNL, scientists are working on several fronts to better understand and predict these events and what they mean for the carbon cycle and biodiversity.
![Clouds of gray smoke in the lower left are funneled northward from wildfires in Western Canada, reaching the edge of the sea ice covering the Arctic Ocean. A second path of thick smoke is visible at the top center of the image, emanating from wildfires in the boreal areas of Russia’s Far East, in this image captured on July 13, 2023. Credit: NASA MODIS](/sites/default/files/styles/list_page_thumbnail/public/2023-07/NASA%20Arctic%20Circle%20wildfire%20smoke_image07182023_1km_1.jpg?h=dbdc3f84&itok=oHQVs6Bn)
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
![Reuben Budiardja, an Oak Ridge National Laboratory computational scientist, worked with the early users who helped prepare Frontier, the world’s first exascale supercomputer, for scientific operations. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/OLCF_Reuben_0.jpg?h=37d8d407&itok=xzEd2WaJ)
With the world’s first exascale supercomputer now fully open for scientific business, researchers can thank the early users who helped get the machine up to speed.
![TIP graphic](/sites/default/files/styles/list_page_thumbnail/public/2023-06/TIPbg_1200.png?h=da33fe38&itok=y7ggwHLV)
Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.
![ORNL seismic researcher Chengping Chai placed seismic sensors on the ground at various distances from an ORNL nuclear reactor to learn whether they could detect its operating state. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/2023-P03398.jpg?h=3e43625b&itok=TXK8tthh)
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
![ORNL researchers, from left, Yang Liu, Xiaohan Yang and Torik Islam, collaborated on the development of a new capability to insert multiple genes simultaneously for fast, efficient transformation of plants into better bioenergy feedstocks. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/Gene%20stacking%202023-P03111_0.jpg?h=c6980913&itok=RSUZXZ8U)
In a discovery aimed at accelerating the development of process-advantaged crops for jet biofuels, scientists at ORNL developed a capability to insert multiple genes into plants in a single step.