This research explains how temperature acts in tiny particles, such as ZrO₂, Ag, ZnO, NiO, and Al, using some cool tools: the Dixit–Srivastava EOS, the Birch–Murnaghan EOS, and a heat-focused model. We're essentially using these models to predict how temperature changes as these nanoparticles expand, and then verifying if our predictions match real-world experiments. Turns out, the Dixit–Srivastava EOS usually nails it, giving us the most accurate forecasts for all the materials. Interestingly, metals seem to cool down faster due to their surface, but ionic oxides are tougher and hold onto their heat better. So, it seems these EOS models with nanoscale adjustments work well, and we can use this knowledge to create better nanomaterials for electronics, energy, and structures.
Singh et al. (Wed,) studied this question.