![Researcher Brittany Rodriguez works with an ORNL-developed Additive Manufacturing/Compression Molding system that 3D prints large-scale, high-volume parts made from lightweight composites. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/featured_square_large/public/2024-07/Rodriguez%20profile%20photo%202.jpg?h=b3660f0d&itok=xn0NRyVn)
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Media Contacts
Joe Tuccillo, a human geography research scientist, leads the UrbanPop project that uses census data to create synthetic populations. Using a Python software suite called Likeness on ORNL’s high-performance computers, Tuccillo’s team generates a population with individual ‘agents’ designed to represent people that interact with other agents, facilities and services in a simulated neighborhood.
![Dmytro Bykov, left, and Hector Corzo participate in a value proposition development exercise as part Energy I-Corps](/sites/default/files/styles/list_page_thumbnail/public/2024-07/ICorps18a.jpg?h=92704f59&itok=58Y6bvrB)
Two ORNL teams recently completed Cohort 18 of Energy I-Corps, an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways.
![This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P08173.jpg?h=c6980913&itok=Ed354_C-)
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
![Researcher Brittany Rodriguez works with an ORNL-developed Additive Manufacturing/Compression Molding system that 3D prints large-scale, high-volume parts made from lightweight composites. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Rodriguez%20profile%20photo%202.jpg?h=b3660f0d&itok=GjSV8Zyr)
Brittany Rodriguez never imagined she would pursue a science career at a Department of Energy national laboratory. However, after some encouraging words from her mother, input from key mentors at the University of Texas Rio Grande Valley, or UTRGV, and a lot of hard work, Rodriguez landed at DOE’s Manufacturing Demonstration Facility, or MDF, at Oak Ridge National Laboratory.
![The photo is of a 3D-printed part -- a big grey block with a grey fan like structure coming out from the top. To the right shows a digital copy in an AI model.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/powderBed03.jpg?h=d1cb525d&itok=iHER8rAc)
The Department of Energy’s Oak Ridge National Laboratory has publicly released a new set of additive manufacturing data that industry and researchers can use to evaluate and improve the quality of 3D-printed components. The breadth of the datasets can significantly boost efforts to verify the quality of additively manufactured parts using only information gathered during printing, without requiring expensive and time-consuming post-production analysis.
![Group of over 20 participants, both girls and boys, line up in a group with four rows of 13 in the quad - outside area of ORNL.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Picture3%20group.jpg?h=d8f5c338&itok=lcL85iSg)
ORNL hosted the Mid-South Regional Chapter of the American Society for Photogrammetry and Remote Sensing, or ASPRS. Participants spanning government, academia and industry engaged in talks, poster sessions, events and workshops to further scientific discovery in a field devoted to using pictures to understand changes to the earth’s inhabitants and landscape.
![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.
![This photo is of three men sitting around a laptop computer that happens to be working on cybersecurity testing equipment.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Picture11.jpg?h=cc1017b3&itok=hCUDThD9)
A newly established internship between ORNL and Maryville College is bringing cybersecurity careers to a local liberal arts college. The internship was established by a Maryville College alumni who recently joined ORNL.
![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.