Sandia National Labs FY20 LDRD Annual Report
FY20 ANNUAL REPORT
Multiscale approach to fast ModSim for laser processing of metals benefit future nuclear deterrence environments. New modeling capabilities, developed to predict laser-processed metal part performance from manufacturing process parameters, resulted in a thermal modeling technique able to run 72X faster than previous methods. Rapid predictive models of advanced manufacturing processes are critical tools needed to achieve a flexible and responsive nuclear
deterrent. The models resulting from this project continue to be developed by Sandia and will result in a full suite of rapid, predictive laser-metal process models that will facilitate a more agile advanced manufacturing design and qualification process for system components needed by the nuclear deterrence mission. (PI: Dan Moser)
Simulated temperature, microstructure, and residual stress distributions for a laser-processed metal part.
Quantum-enabled bioimaging using a multipartite-entangled light source. This project studied the feasibility of a quantum-enabled super-resolution bioimaging technique to monitor various bio- activities of the nanoscale (~25 nm). Observing the detailed biological mechanisms at the nanoscale will dramatically increase the understanding of sub-cellular biology — the mechanisms for cellular response to disease. During the course of this work, the team discovered a working quantum
imaging configuration using multimode entangled squeezed light and showed that quantum imaging noise can be lower than classical imaging noise. These successes promise to usher in nanoscale in-situ bioimaging, impacting basic science to reduce global biological security threats and guarding against the bio-technological surprise. (PI: Daniel Soh)
Quantum imaging can achieve equivalent signal-to-noise performance with orders of magnitude lower optical energy.
LABORATORY DIRECTED RESEARCH & DEVELOPMENT
Made with FlippingBook - professional solution for displaying marketing and sales documents online