![Wavy photo representing high performance computing](/sites/default/files/styles/featured_square_large/public/2024-09/ORNL%20BG03%5B84%5D.jpg?h=50f775af&itok=2RkMJksc)
Filter News
Area of Research
News Topics
- (-) High-Performance Computing (25)
- 3-D Printing/Advanced Manufacturing (47)
- Advanced Reactors (17)
- Artificial Intelligence (39)
- Big Data (26)
- Bioenergy (23)
- Biology (19)
- Biomedical (28)
- Biotechnology (9)
- Buildings (21)
- Chemical Sciences (26)
- Clean Water (7)
- Climate Change (34)
- Composites (9)
- Computer Science (67)
- Coronavirus (23)
- Critical Materials (10)
- Cybersecurity (4)
- Decarbonization (26)
- Education (1)
- Emergency (1)
- Energy Storage (33)
- Environment (52)
- Exascale Computing (13)
- Fossil Energy (3)
- Frontier (10)
- Fusion (23)
- Grid (17)
- Isotopes (22)
- ITER (1)
- Machine Learning (19)
- Materials (19)
- Materials Science (59)
- Mathematics (6)
- Mercury (1)
- Microelectronics (2)
- Microscopy (10)
- Molten Salt (3)
- Nanotechnology (19)
- National Security (26)
- Net Zero (6)
- Neutron Science (44)
- Nuclear Energy (46)
- Partnerships (18)
- Physics (20)
- Polymers (12)
- Quantum Computing (13)
- Quantum Science (28)
- Security (6)
- Simulation (16)
- Space Exploration (7)
- Statistics (2)
- Summit (23)
- Sustainable Energy (45)
- Transformational Challenge Reactor (5)
- Transportation (27)
Media Contacts
![Wavy photo representing high performance computing](/sites/default/files/styles/list_page_thumbnail/public/2024-09/ORNL%20BG03%5B84%5D.jpg?h=50f775af&itok=XRc2LrIy)
Office of Science to announce a new research and development opportunity led by ORNL to advance technologies and drive new capabilities for future supercomputers. This industry research program worth $23 million, called New Frontiers, will initiate partnerships with multiple companies to accelerate the R&D of critical technologies with renewed emphasis on energy efficiency for the next generation of post-exascale computing in the 2029 and beyond time frame.
![ORNL scientists used molecular dynamics simulations, exascale computing, lab testing and analysis to accelerate the development of an energy-saving method to produce nanocellulosic fibers.](/sites/default/files/styles/list_page_thumbnail/public/2024-09/bioMaterial04.jpg?h=d1cb525d&itok=UoJo1KoB)
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.
![The Frontier supercomputer simulated magnetic responses inside calcium-48, depicted by red and blue spheres. Insights into the nucleus’s fundamental forces could shed light on supernova dynamics.](/sites/default/files/styles/list_page_thumbnail/public/2024-09/Nova%20Nucleus%20v2.jpg?h=2d44e782&itok=YlbsTzRG)
Nuclear physicists at the Department of Energy’s Oak Ridge National Laboratory recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
![ORNL researchers Tom Beck, left, Sarp Oral and Rafael Ferreira da Silva have proposed a strategy for integrating classical supercomputers such as Frontier, the world’s first exascale computer, with the emerging field of quantum computing.](/sites/default/files/styles/list_page_thumbnail/public/2024-08/BeckOralSilvaMain_0.jpg?h=036a71b7&itok=53p41Ylx)
A study by more than a dozen scientists at the Department of Energy’s Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.
![Quantum computing experts gather for fifth annual user forum at Oak Ridge National Laboratory](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2024-P15000.jpg?h=8fbedd4e&itok=BiDC_GmF)
The Quantum Computing User Forum welcomed attendees for a dynamic event at ORNL. The annual user meeting brought the cohort together to highlight results and discuss common practices in the development of applications and software for quantum computing systems.
![Image with a grey and black backdrop - in front is a diamond with two circles coming out from it, showing the insides.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/thumbnail_OLCF_BC8.jpg?h=b5b1176d&itok=LE-EYtQH)
The world’s fastest supercomputer helped researchers simulate synthesizing a material harder and tougher than a diamond — or any other substance on Earth. The study used Frontier to predict the likeliest strategy to synthesize such a material, thought to exist so far only within the interiors of giant exoplanets, or planets beyond our solar system.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
![This photo is of four men standing in front of a wall of monitors that are showing a tree looking image.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P18264.jpg?h=c6980913&itok=5vhjgeck)
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.
![Arial view of the Atchafalaya Basin](/sites/default/files/styles/list_page_thumbnail/public/2024-07/CoastalEco_atchafalayadelta_pho_2010113.jpg?h=34e43602&itok=_bt6Z5Va)
In the wet, muddy places where America’s rivers and lands meet the sea, scientists from the Department of Energy’s Oak Ridge National Laboratory are unearthing clues to better understand how these vital landscapes are evolving under climate change.
![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.