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Media Contacts
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
![Digital image of molecules would look like. There are 10 clusters of these shapes in grey, red and blue with a teal blue background](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Picture6.jpg?h=7e1075cf&itok=YSLnbbso)
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.
![Two green oak leaves with other matter in two circles above them. To the right, a yellow blob. To the left, a brown material inside a bowl.](/sites/default/files/styles/list_page_thumbnail/public/2024-06/Tan%20background%20-%20no%20words%20%281%29.png?h=a9a76387&itok=z1mNs7GY)
Oak Ridge National Laboratory scientists ingeniously created a sustainable, soft material by combining rubber with woody reinforcements and incorporating “smart” linkages between the components that unlock on demand.
![Red background fading into black from top to bottom. Over top the background are 20 individual rectangles lined up in three rows horizontally with a red and blue line moving through it.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/cover_image.jpg?h=f61ad192&itok=-DQxXWM_)
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
![A tan and black cylinder that is made up of three long tubes vertically with a black line horizontally going across the bottom and the top. There is a piece laying on the floor that says ORNL.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/0N4A1403.jpg?h=193fc484&itok=LG0sANT8)
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
![Jiafu Mao, left, and Yaoping Wang discuss their analysis of urban and rural vegetation resilience across the United States in the EVEREST visualization lab at ORNL. Credit: Carlos Jones, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/2024-P07278R.jpg?h=c6980913&itok=lVwfnfEq)
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
![New research predicts peak groundwater extraction for key basins around the globe by the year 2050. The map indicates groundwater storage trends for Earth’s 37 largest aquifers using data from the NASA Jet Propulsion Laboratory GRACE satellite. Credit: NASA.](/sites/default/files/styles/list_page_thumbnail/public/2024-04/GroundwaterGRACE%20%281%29.jpg?h=3c857b1a&itok=g_tWUVHW)
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
The United States could triple its current bioeconomy by producing more than 1 billion tons per year of plant-based biomass for renewable fuels, while meeting projected demands for food, feed, fiber, conventional forest products and exports, according to the DOE’s latest Billion-Ton Report led by ORNL.
![ORNL](/sites/default/files/styles/list_page_thumbnail/public/2024-02/53513409869_10ff1eb2d4_k.jpg?h=a1e1a043&itok=3CjbVfyQ)
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
![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.