Reduced-order model to predict thermal conductivity of dimensionally confined materials

Predicting nanoscale thermal transport in dielectrics requires models, such as the Boltzmann equation (BTE), that account for phonon boundary scattering structures with complex geometries. Although BTE has been validated against several key experiments, its computational expense limits applicability. Here, we demonstrate use of an analytic reduced-order model predicting conductivity dimensionally confined materials, i.e., monolithic and porous thin films, rectangular cylindrical nanowires. The approach uses recently developed “Ballistic Correction Model,” which accounts materials' full distribution mean-free-paths. is simulations a selection base obtaining excellent agreement. By furnishing precise yet easy-to-use prediction nanostructures, our work strives to accelerate identification materials energy-conversion thermal-management applications.