Sandia National Labs Academic Programs Collaboration Report

About the NNSA Minority Serving Institution Partnership Program

There are talent pipelines programs, and then there is the NNSA Minority Serving Institution Partnership Program (MSIPP), which is designed to build a sustainable pipeline between DOE sites/ labs and minority serving institutions in science, engineering, technology, mathematics (STEM) disciplines by bringing a heightened awareness of commonalities between them. Diane Peebles, Academic Programs senior manager noted of the program, “Ten of our Sandia university partners are supported through MSIPP.” As of 2021, MSIPP had a total of 24 active consortia that allows them to support 46 educational institutions in partnership with 13 labs, plants, site partners, and two non-profits. Sandia is specifically involved in the nine following consortia: • Consortium for Hybrid Resilient Energy Systems (CHRES) • Consortium on National Critical Infrastruct ~ ure Security (CONCISE) • Consortium for Research and Education in Power and Energy Systems (CREPES) • Successful Training and Effective Pipelines to National Laboratories (STEP2NL) • Growing Stems Consortium: Training the Next Generation of Engineers for the DOE/ NNSA Workforce (GSC)

The GSC Annual Collaboration Forum was held on April 12 at the National Museum of Nuclear Science & History in Albuquerque, NM . More than 65 students from Texas Tech University (TTU), New Mexico Tech University and Amarillo College attended, and DOE/NNSA attendees included employees from Sandia, Los Alamos National Laboratory, and Consolidated Nuclear Security (Y-12/Pantex). On April 25 and 26, Sandia and Texas Tech University held a technical interchange meeting that included a Graduate Seminar Series about the computational simulation work performed in support of the national security mission. The team toured the Combustion and the Electrical Chatter Labs at TTU and met with faculty and students in mechanical and electrical engineering, and pulsed power. • Nuclear Security Advanced Manufacturing Enhanced by Machine Learning (NSAM-ML) During 2022, Sandia staff members and NSAM-ML faculty met to discuss methods of development for materials modeling and their application to systems of interest. Participation in a seminar series organized by NSAM-ML lead Abdennaceur Karoui from North Carolina Central University, included a technical presentation by Sandia staff member Peter Schultz.

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2021-2022 Collaboration Report