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Media Contacts
![The seven entrepreneurs for Cohort 2024](/sites/default/files/styles/list_page_thumbnail/public/2024-08/ICCohort2024.png?h=d1cb525d&itok=LtRT6jzo)
Seven entrepreneurs comprise the next cohort of Innovation Crossroads, a DOE Lab-Embedded Entrepreneurship Program node based at ORNL. The program provides energy-related startup founders from across the nation with access to ORNL’s unique scientific resources and capabilities, as well as connect them with experts, mentors and networks to accelerate their efforts to take their world-changing ideas to the marketplace.
![Green and blue background of a graphic image that says Honors and Awards](/sites/default/files/styles/list_page_thumbnail/public/2024-07/HonorsandAwards4.jpg?h=d1cb525d&itok=5_BrUH4R)
Two additive manufacturing researchers from ORNL received prestigious awards from national organizations. Amy Elliott and Nadim Hmeidat, who both work in the Manufacturing Science Division, were recognized recently for their early career accomplishments.
![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.
![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.
![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.
![Image is of woman with dark hair crossing her arms and posting for a photo in front of a blue backdrop. She is wearing a black shirt with a tan cardigan.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2019-P16804%20%281%29.jpg?h=8f9cfe54&itok=YgS2EUSC)
Researcher Rocio Uria-Martinez was named one of four “Women with Hydro Vision” at this year’s HYDROVISION International 2024 conference taking place in Denver this week. Awarded by a committee of industry peers, the honor recognizes women who use their unique talents and vision to improve and advance the worldwide hydropower industry.
![This is an image of a man sitting at a computer with three screens.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/GiuseppeBarca-5.jpg?h=8f74817f&itok=bNl8-yBi)
Researchers conduct largest, most accurate molecular dynamics simulations to date of two million correlated electrons using Frontier, the world’s fastest supercomputer. The simulation, which exceed an exaflop using full double precision, is 1,000 times greater in size and speed than any quantum chemistry simulation of it's kind.
![Five girls stand outside of a red brick building with iron gate out front, Stephen King's house.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Picture3banana%20fiber.jpg?h=1758acef&itok=tVVRAfYt)
Participants in the SM2ART Research Experience for Undergraduates program got the chance to see what life is like in a research setting. REU participant Brianna Greer studied banana fibers as a reinforcing material in making lightweight parts for cars and bicycles.