Georgia Tech

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Enabling fully predictive simulations using disruptive computational mechanics and novel diagnostics

News Article, April 10, 2023 • Sandia Researcher Rekha Rao Accurately capturing solidification of fluids and the development of residual stress is critical for fully predictive simulations for numerous applications in geoscience, nuclear safety, manufacturing, energy production, and bioscience. Researchers on this LDRD project developed, implemented, and demonstrated advanced constitutive models with yield stress to represent...

Revealing the kinetics of atmospheric corrosion damage through in-situ x-ray computed tomography and machine vision

News Article, June 8, 2023 • In-situ XCT enables both the growth rate and morphology (yellow) of pits to be directly characterized in relationship to the evolving electrolyte (blue) and prior stages of pit morphology (black). Atmospheric corrosion is a critical materials degradation problem, yet the ability to predict its kinetics remains elusive. Conventional approaches provide...

Smart materials for highly complex tags with environmental response

News Article, June 22, 2023 • Cover of the Journal of the German Chemical Society Angewandte Chemie International Edition As counterfeiting methods become more sophisticated, countermeasures must be developed at the same pace. In this Sandia LDRD project, unique exemplars of next generation anticounterfeiting optical tags were developed that leverage the luminescent properties of materials for...