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Graphene foams have recently attracted a great deal of interest for theirpossible use in technological applications, such as electrochemical storagedevices, wearable electronics, and chemical sensing. In this work, we presentcomputational investigations, performed by using molecular dynamics withreactive potentials, of the mechanical and thermal properties of graphenerandom nanofoams. In particular, we assess the mechanical and thermalperformances of four families of random foams characterized by increasing massdensity and decreasing average pore size. We find that the foams' mechanicalperformances under tension cannot be rationalized in terms of mass density,while they are principally related to their topology. Under compression,higher-density foams show the typical slope change in the stress-strain curveat 5-10% strain, moving from linear elasticity to bending stress plateau. Atvariance, lower density foams display a quasi-linear behaviour up to 35%strain. Furthermore, we assess the thermal conductivity of these random foamsusing the Green-Kubo approach. While foam thermal conductivity is affected byboth connectivity and defects, nevertheless we obtain similar values for allthe investigated families.

Mechanical and thermal properties of Graphene Random nanofoams via Molecular Dynamics simulations