![This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.](/sites/default/files/styles/featured_square_large/public/2024-07/2023-P08173.jpg?h=c6980913&itok=LnJLvflD)
Filter News
Area of Research
- Biology and Environment (29)
- Biology and Soft Matter (1)
- Clean Energy (14)
- Climate and Environmental Systems (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (11)
- Isotopes (1)
- Materials (17)
- Materials for Computing (3)
- National Security (6)
- Neutron Science (4)
- Supercomputing (14)
News Topics
- (-) Artificial Intelligence (15)
- (-) Environment (40)
- (-) Materials Science (18)
- (-) Nuclear Energy (10)
- (-) Security (4)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (4)
- Big Data (11)
- Bioenergy (21)
- Biology (29)
- Biomedical (6)
- Biotechnology (3)
- Buildings (16)
- Chemical Sciences (15)
- Clean Water (5)
- Climate Change (26)
- Composites (4)
- Computer Science (26)
- Coronavirus (9)
- Critical Materials (4)
- Cybersecurity (9)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (26)
- Exascale Computing (9)
- Fossil Energy (1)
- Frontier (10)
- Fusion (8)
- Grid (13)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- Isotopes (4)
- ITER (2)
- Machine Learning (10)
- Materials (37)
- Mercury (2)
- Microscopy (14)
- Nanotechnology (9)
- National Security (17)
- Net Zero (2)
- Neutron Science (14)
- Partnerships (8)
- Physics (12)
- Polymers (5)
- Quantum Computing (7)
- Quantum Science (9)
- Simulation (6)
- Space Exploration (4)
- Summit (7)
- Sustainable Energy (25)
- Transformational Challenge Reactor (2)
- Transportation (12)
Media Contacts
![This protein drives key processes for sulfide use in many microorganisms that produce methane, including Thermosipho melanesiensis. Researchers used supercomputing and deep learning tools to predict its structure, which has eluded experimental methods such as crystallography. Credit: Ada Sedova/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/thermosipho_collabfold2_0.jpg?h=3432ff3c&itok=4xhLbjKZ)
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
![Using quantum Monte Carlo methods, the researchers simulated bulk VO2. Yellow and turquoise represent changes in electron density between the excited and ground states of a compound composed of oxygen, in red, and vanadium, in blue, which allowed them to evaluate how an oxygen vacancy, in white, can alter the compound’s properties. Credit: Panchapakesan Ganesh/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/image001_0.png?h=11d99c73&itok=sdREw4na)
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
![As hurricanes formed in the Gulf Coast, ORNL activated a computing technique to quickly gather building structure data from Texas’ coastal counties. Credit: Mark Tuttle/Oak Ridge National Laboratory, U.S. Dept. of Energy As hurricanes formed in the Gulf Coast, ORNL activated a computing technique to quickly gather building structure data from Texas’ coastal counties. Credit: Mark Tuttle/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/01%201%20-%20Impacts%20r1.jpg?itok=D1FzgK0y)
Geospatial scientists at Oak Ridge National Laboratory have developed a novel method to quickly gather building structure datasets that support emergency response teams assessing properties damaged by Hurricanes Harvey and Irma. By coupling deep learning with high-performance comp...
![Ctherm on Biomass CSLM](/sites/default/files/styles/list_page_thumbnail/public/Ctherm%20on%20Biomass%20CSLM%201%5B2%5D.jpg?itok=18dYKdr0)
With the licensing to Enchi Corporation of a microbe custom-designed to produce ethanol efficiently, Oak Ridge National Laboratory (ORNL) and the BioEnergy Science Center (BESC) mark the culmination of 10 years’ research into ways to improve biofuels production. Enchi ha...
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
![Gerald Tuskan will serve as Chief Executive Officer of the new ORNL-led Center for Bioenergy Innovation, one of four DOE bioenergy research centers. Gerald Tuskan will serve as Chief Executive Officer of the new ORNL-led Center for Bioenergy Innovation, one of four DOE bioenergy research centers.](/sites/default/files/styles/list_page_thumbnail/public/2016-P07192_0.jpg?itok=M19qY6t9)
The Department of Energy has announced funding for new research centers to accelerate the development of specialty plants and processes for a new generation of biofuels and bioproducts. The Center for Bioenergy Innovation (CBI), led by Oak Ridge National Laboratory...
![Methanotroph_OB3b_cells Methanotroph_OB3b_cells](/sites/default/files/styles/list_page_thumbnail/public/Methanotroph_OB3b_cells_2.jpg?itok=Iml9vTIS)
A team led by the Department of Energy’s Oak Ridge National Laboratory has identified a novel microbial process that can break down toxic methylmercury in the environment, a fundamental scientific discovery that could potentially reduce mercury toxicity levels and sup...
![ORNL’s Xiahan Sang unambiguously resolved the atomic structure of MXene, a 2D material promising for energy storage, catalysis and electronic conductivity. Image credit: Oak Ridge National Laboratory, U.S. Dept. of Energy; photographer Carlos Jones ORNL’s Xiahan Sang unambiguously resolved the atomic structure of MXene, a 2D material promising for energy storage, catalysis and electronic conductivity. Image credit: Oak Ridge National Laboratory, U.S. Dept. of Energy; photographer Carlos Jones](/sites/default/files/styles/list_page_thumbnail/public/Sang_2016-P07680_0.jpg?itok=w0e5eR_U)
Researchers have long sought electrically conductive materials for economical energy-storage devices. Two-dimensional (2D) ceramics called MXenes are contenders. Unlike most 2D ceramics, MXenes have inherently good conductivity because they are molecular sheets made from the carbides ...
![Advanced materials take flight in the LEAP engine, featuring ceramic matrix composites developed over a quarter-century by GE with help from DOE and ORNL. Image credit: General Electric Advanced materials take flight in the LEAP engine, featuring ceramic matrix composites developed over a quarter-century by GE with help from DOE and ORNL. Image credit: General Electric](/sites/default/files/styles/list_page_thumbnail/public/GE1main_0.jpg?itok=sqLo7TAa)
Ceramic matrix composite (CMC) materials are made of coated ceramic fibers surrounded by a ceramic matrix. They are tough, lightweight and capable of withstanding temperatures 300–400 degrees F hotter than metal alloys can endure. If certain components were made with CMCs instead o...