Sandia Lab News

Internships fuel research for Puerto Rico engineering students

The NNSA-sponsored Consortium for Integrating Energy Systems in Engineering and Science Education internship program connects engineering students from five Hispanic-serving institutions, including UPRM, with research at Sandia and the National Energy Technology Laboratory in Morgantown, West Virginia.

Building a medical-isotope producing reactor

Eden Radioisotopes LLC, a New Mexico company, secured funding this year and located 240 acres of land in the southeastern corner of the state to build a small reactor that exclusively will produce medical isotopes. The concept was developed and licensed by Sandia, and the effort, in partnership with Eden, earned a regional Excellence in Technology Transfer Award from the Federal Laboratory Consortium.

R&D 100

The venerable R&D 100 contest, slightly more than 50 years old, has a new owner, and the competition continues. Competing in an international pool of universities, corporations and government labs, Sandia inventions captured four R&D 100 Awards this year, as well as two environmental and one business award.

Exceptional service in the national interest

Two dates are well known to Sandians: the day President Harry Truman wrote a letter calling for “exceptional service in the national interest” and the day Sandia (previously Z Division) separated from its parent, Los Alamos National Laboratory, and became the entity we know it as today.

Security in a heartbeat

Sandia is collaborating with a New Mexico small business to test and develop a biometric security system based on the human heartbeat. Sandia signed an agreement with Albuquerque-based Aquila Inc. to develop and test a wearable prototype that can stream in real time an identifying signature based on the electrical activity of a person’s heart.

Engineering success through predicting failure

Around the world, materials scientists and engineers are trying different ways to predict fractures in ductile metals, but it’s not clear which approach is most accurate. To compare the different methods, Sandia researchers have presented three voluntary challenges to their colleagues: Given the same basic information about the shape, composition and loading of a metal part, could they predict how it would eventually fracture?