7-Dec-2022 Unusual gamma-ray burst reveals previously undetected hybrid neutron-star merger event DOE/Los Alamos National Laboratory Peer-Reviewed Publication The standard view of gamma-ray bursts as a signature for different types of dying stars might need a rewrite. Recent astronomical observations, supported by theoretical modeling, reveal a new observational fingerprint of neutron-star mergers, which may shed light on the production of heavy elements throughout the universe. Journal Nature Funder Laboratory Directed Research and Development program at Los Alamos National Laboratory
15-Nov-2022 Sandia studies vulnerabilities of electric vehicle charging infrastructure DOE/Sandia National Laboratories With electric vehicles becoming more and more common, the risks and hazards of a cyber attack on electric vehicle charging equipment and systems also increases. Jay Johnson, an electrical engineer at Sandia National Laboratories, has been studying the varied vulnerabilities of electric vehicle charging infrastructure for the past four years. Journal Energies Funder DOE/US Department of Energy
10-Nov-2022 Great minds in STEM salutes Sandia Labs engineer DOE/Sandia National Laboratories Business Announcement Sandia National Laboratories mechanical engineer Frank DelRio likes to think small — microscopically small. His groundbreaking work in nanomechanics and nanotribology earned him a trip to Pasadena, California, recently for the 2022 Hispanic Engineer National Achievement Awards Conference, where he was honored for his technical achievements.
24-Oct-2022 At Sandia Labs, a vision for navigating when GPS goes dark DOE/Sandia National Laboratories Peer-Reviewed Publication A team at Sandia National Laboratories is reengineering a quantum inertial sensor into a compact, rugged device so the technology can safely guide vehicles where GPS signals are jammed or lost. Journal Nature Communications
19-Oct-2022 Accolades spotlight shines on Sandia Labs DOE/Sandia National Laboratories Business Announcement Sandia National Laboratories’ Robin Jones and Kimberly Pino recently were recognized by Profiles in Diversity Journal as Women Worth Watching in Leadership award winners for 2022, while Sondra Spence received a Women Worth Watching in STEM award.
19-Oct-2022 Society of Women Engineers bestows awards on 3 Sandia staff, including its highest honor DOE/Sandia National Laboratories Grant and Award Announcement The Society of Women Engineers has bestowed awards on three Sandia National Laboratories employees. Senior scientist Tina Nenoff received the society’s highest honor, the Achievement Award.
18-Oct-2022 Investigating stockpile stewardship applications for world’s largest computer chip DOE/Sandia National Laboratories Business Announcement Sandia National Laboratories and its partners at two other national labs have announced a project to investigate the application of Cerebras Systems‘ Wafer-Scale Engine technology. The immediate interest is to accelerate advanced simulation and computing applications in support of the nation’s stockpile stewardship mission. Funder National Nuclear Security Administration
17-Oct-2022 Burping bacteria: Identifying Arctic microbes that produce greenhouse gases DOE/Sandia National Laboratories As greenhouse gases bubble up across the rapidly thawing Arctic, Sandia National Laboratories researchers are trying to identify other trace gases from soil microbes that could shed some light on what is occurring biologically in melting permafrost in the Arctic.
11-Oct-2022 Ink flows to meet surging demand for national security research DOE/Sandia National Laboratories Business Announcement The nation’s largest national laboratory is embarking on a major expansion of its network of academic partners to meet the surging demand for national security science and engineering.
10-Oct-2022 AI predicts physics of future fault-slip in laboratory earthquakes DOE/Los Alamos National Laboratory Peer-Reviewed Publication An artificial-intelligence approach borrowed from natural-language processing — much like language translation and autofill for text on your smart phone — can predict future fault friction and the next failure time with high resolution in laboratory earthquakes. The technique, applying AI to the fault’s acoustic signals, advances previous work and goes beyond by predicting aspects of the future state of the fault’s physical system. Journal Geophysical Research Letters Funder DOE/US Department of Energy, Laboratory Directed Research and Development at Los Alamos National Laboratory