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Media Contacts
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.
![Susan Hubbard, ORNL’s deputy for science and technology and Quincy Quick, TSU’s associate vice president for Research and Sponsored Programs, sign a memorandum of understanding to strengthen research cooperation and provide diverse undergraduate students enriching educational research opportunities at the lab. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-10/2023-P14336_0.jpg?h=c6980913&itok=aqKcPQCc)
The Department of Energy’s Oak Ridge National Laboratory and Tennessee State University have signed a memorandum of understanding to strengthen research cooperation and provide diverse undergraduate students enriching educational research opportunities at the lab.
![Susan Hubbard, ORNL’s deputy for science and technology and Can (John) Saygin, senior vice president for research and dean of the graduate college at UTRGV, sign a memorandum of understanding to strengthen research cooperation and establish a collaborative program for undergraduate research and education. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-10/hubbard_0.jpg?h=c6980913&itok=Ted6eEyM)
ORNL and the University of Texas Rio Grande Valley, known as UTRGV, have signed a memorandum of understanding to strengthen research cooperation and establish a collaborative program for undergraduate research and education, further cementing hi
![Susan Hubbard, diputada de Ciencia y Tecnología en ORNL, Can (John) Saygin, vicepresidente mayor de investigación y decano del Colegio de la Escuela de Postgrados en UTGRV, firman un Memorándum de Entendimiento comprometiéndose a fortalecer la cooperación en la investigación científica y establecer un programa colaborativo para estudiantes de pregrado. Crédito de la fotografía: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-10/2023-P14339_2.jpg?h=c6980913&itok=bJmv1OIb)
Susan Hubbard, diputada de Ciencia y Tecnología en ORNL, Can (John) Saygin, vicepresidente mayor de investigación y decano del Colegio de la Escuela de Postgrados en UTGRV, firman un Memorándum de Entendimiento comprometiéndose a fortalecer
![Madhavi Martin portrait image](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P09857_0.jpg?h=036a71b7&itok=4QOEKn5k)
Madhavi Martin brings a physicist’s tools and perspective to biological and environmental research at the Department of Energy’s Oak Ridge National Laboratory, supporting advances in bioenergy, soil carbon storage and environmental monitoring, and even helping solve a murder mystery.
![The OpeN-AM experimental platform, installed at the VULCAN instrument, features a robotic arm that prints layers of molten metal to create complex shapes. Credit: Jill Hemman/ORNL, U.S Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/Picture2.jpg?h=3c75dc16&itok=_NLdJ0Po)
Technologies developed by researchers at ORNL have received six 2023 R&D 100 Awards.
![TIP graphic](/sites/default/files/styles/list_page_thumbnail/public/2023-06/TIPbg_1200.png?h=da33fe38&itok=y7ggwHLV)
Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.
![Andrew Lupini](/sites/default/files/styles/list_page_thumbnail/public/2023-04/lupini.png?h=181bc054&itok=c-ov-WoV)
Andrew Lupini, a scientist and inventor at ORNL, has been elected Fellow of the Microscopy Society of America.
![An AI-generated image representing atoms and artificial neural networks. Credit: Maxim Ziatdinov, ORNL](/sites/default/files/styles/list_page_thumbnail/public/2023-04/atoms3.jpg?h=ab622562&itok=dNMzrFw8)
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.
![Computational systems biologists at ORNL worked with the U.S. Department of Veterans Affairs and other institutions to identify 139 locations across the human genome tied to risk factors for varicose veins, marking a first step in the development of new treatments. Credit: Andy Sproles/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-01/vein06_0.jpg?h=d32448e0&itok=ItaGWCo5)
As part of a multi-institutional research project, scientists at ORNL leveraged their computational systems biology expertise and the largest, most diverse set of health data to date to explore the genetic basis of varicose veins.