Model nanoparticle melting shifts using thermodynamic equations. Test diameter ranges, shape factors, and constants easily. See trends clearly with results, charts, exports, and tables.
Use the responsive grid below. It shows three columns on large screens, two on smaller screens, and one on mobile.
These example values are illustrative starting points for trend analysis. Replace them with experimental data for serious materials work.
| Material | Bulk MP (°C) | Diameter (nm) | Interfacial Energy (J/m²) | Density (g/cm³) | Latent Heat (kJ/kg) | Shape Factor | Predicted Nano MP (°C) |
|---|---|---|---|---|---|---|---|
| Gold | 1064.18 | 10 | 0.132 | 19.32 | 64.5 | 4 | 1006.10 |
| Silver | 961.78 | 8 | 0.125 | 10.49 | 104.7 | 4 | 881.33 |
| Copper | 1084.62 | 12 | 0.177 | 8.96 | 205.0 | 4 | 985.37 |
| Lead | 327.46 | 6 | 0.055 | 11.34 | 24.7 | 4 | 280.04 |
| Tin | 231.93 | 5 | 0.066 | 7.31 | 59.2 | 4 | 198.03 |
Gibbs-Thomson style relation
Tm(d) = Tm,bulk × [1 - (S × γsl) / (ρs × ΔHf × d)]
Where:
The calculator also reports a size constant, K = (S × γsl) / (ρs × ΔHf), which helps explain how strongly size changes alter melting temperature. Larger interfacial energy raises suppression. Larger density, latent heat, and particle size reduce suppression.
It estimates how a nanoparticle’s melting point changes as size decreases. Smaller particles generally melt below their bulk melting temperature because surface effects become more important.
The page uses a Gibbs-Thomson style relationship. It links melting point suppression to particle size, interfacial energy, density, latent heat of fusion, and an optional shape factor.
Nanoparticles have a much larger surface-to-volume ratio. That increases the influence of surface energy, making the solid phase less stable and lowering the temperature needed for melting.
The shape factor adjusts the suppression strength for particle geometry. Spherical particles often use a value near 4, while other shapes may require different calibrated values.
Yes, for trend studies. However, the model is simplest for systems with reasonably known interfacial data. Complex alloys, coatings, or phase-separating particles may need more advanced treatment.
They govern the strength of the size effect. Higher interfacial energy tends to increase melting-point depression, while higher latent heat tends to resist that depression.
It is an approximate threshold from the model’s size constant. Near or below that scale, suppression becomes very strong, and the simple equation may predict extremely low values.
No. They are reasonable starting points for comparison and demonstration. For research work, replace them with your own experimentally measured or literature-validated property values.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.