Sandia National Labs FY20 LDRD 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.



Made with FlippingBook - professional solution for displaying marketing and sales documents online