Fig. 5: Thermal transport dynamics, equivalent thermal circuits and thermal properties of PDMS-doped GF under deformation.
From: Machine learning-driven molecular dynamics decodes thermal tuning in graphene foam composites
a Temporal evolution of energy gain (red) and loss (blue) in cold and hot regions; b Z-direction temperature profile across axial groups from the establishment of steady-state thermal transport (0.5 ns) to 2 ns; c Variation of thermal conductivity and thermal conductance of GF with different doping rates of PDMS (T = 300 K); d Equivalent thermal circuit of pure GF (without PDMS); e Comparison of heat-flow pathways with and without PDMS; f Equivalent thermal circuit of GF doped with PDMS; g Thermal conductivity variation with the varying deformation; h Thermal conductance variation with the varying deformation.
