![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
- (-) Materials (433)
- (-) Nuclear Systems Technology (1)
- (-) Renewable Energy (4)
- (-) Supercomputing (312)
- Advanced Manufacturing (34)
- Biological Systems (18)
- Biology and Environment (177)
- Biology and Soft Matter (5)
- Building Technologies (12)
- Chemical and Engineering Materials (4)
- Chemistry and Physics at Interfaces (11)
- Clean Energy (522)
- Climate and Environmental Systems (14)
- Computational Biology (6)
- Computational Chemistry (5)
- Computational Engineering (5)
- Computer Science (19)
- Data (1)
- Earth Sciences (1)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (14)
- Energy Sciences (5)
- Fossil Energy (3)
- Fuel Cycle Science and Technology (3)
- Functional Materials for Energy (16)
- Fusion and Fission (54)
- Fusion Energy (19)
- Geographic Information Science and Technology (3)
- Isotope Development and Production (3)
- Isotopes (35)
- Materials Characterization (2)
- Materials for Computing (36)
- Materials Synthesis from Atoms to Systems (13)
- Materials Under Extremes (12)
- Mathematics (1)
- National Security (80)
- Neutron Data Analysis and Visualization (4)
- Neutron Science (190)
- Nuclear Science and Technology (74)
- Nuclear Systems Modeling, Simulation and Validation (3)
- Quantum Condensed Matter (4)
- Quantum information Science (9)
- Reactor Technology (1)
- Sensors and Controls (5)
- Transportation Systems (11)
News Type
News Topics
- 3-D Printing/Advanced Manufacturing (26)
- Advanced Reactors (5)
- Artificial Intelligence (38)
- Big Data (19)
- Bioenergy (18)
- Biology (14)
- Biomedical (22)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (32)
- Clean Water (3)
- Climate Change (21)
- Composites (9)
- Computer Science (98)
- Coronavirus (17)
- Critical Materials (15)
- Cybersecurity (8)
- Decarbonization (11)
- Energy Storage (37)
- Environment (34)
- Exascale Computing (23)
- Frontier (29)
- Fusion (8)
- Grid (9)
- High-Performance Computing (41)
- Hydropower (1)
- Irradiation (1)
- Isotopes (14)
- ITER (1)
- Machine Learning (14)
- Materials (79)
- Materials Science (83)
- Mathematics (1)
- Microscopy (29)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (8)
- Net Zero (2)
- Neutron Science (42)
- Nuclear Energy (20)
- Partnerships (11)
- Physics (35)
- Polymers (18)
- Quantum Computing (20)
- Quantum Science (32)
- Renewable Energy (1)
- Security (6)
- Simulation (15)
- Software (1)
- Space Exploration (5)
- Summit (42)
- Sustainable Energy (19)
- Transformational Challenge Reactor (3)
- Transportation (19)
Media Contacts
![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.
![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.
![Caption: Jaswinder Sharma makes battery coin cells with a lightweight current collector made of thin layers of aligned carbon fibers in a polymer with carbon nanotubes. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-01/sharma1_1.jpg?h=f7dae89e&itok=JiSsMewF)
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
![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.
![NEXTGENCOMPUTING students learned fundamental computing concepts through an HPC Crash Course before applying those concepts to an AI-based team project. From left to right, front row: Saahithi Gorti, Hannah Bao, Pragya Nidhi. Middle row: Kaiya Barnes, Brianna Andrews, Aninditha Nair, Olivia Heng, Disha Maheshwari, Emma Bohse, Sachi Griffin, Kevin Peng. Back row, Kieran Marci, Ronak Patel, Michael Batchelor, Matthew Tan, Richard Sances, Dhanvi Bharadwaj, Prabhash G C. Credit: ORNL](/sites/default/files/styles/list_page_thumbnail/public/2023-12/Summit%20Group%20Photo.jpg?h=71976bb4&itok=MJR6GHh2)
This summer, ORNL welcomed more than 500 students to campus through the lab’s range of internship programs, which are offered in areas such as biology, national security and computing.
![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.
![Hilda Klasky](/sites/default/files/styles/list_page_thumbnail/public/2023-12/HildaKlaskyMug_0.jpeg?h=5b728bb6&itok=aVEFR1-o)
Hilda Klasky, a research scientist in ORNL’s Computing and Computational Sciences Directorate, has been named a fellow of the American Medical Informatics Association.
![Ramesh Bhave in lab](/sites/default/files/styles/list_page_thumbnail/public/2023-11/2019-p01791.jpg?h=7bc726c5&itok=LJsGBe80)
Caldera Holding, the owner and developer of Missouri’s Pea Ridge iron mine, has entered a nonexclusive research and development licensing agreement with ORNL to apply a membrane solvent extraction technique, or MSX, developed by ORNL researchers to mined ores.
![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