Abstract
Potential energy functions (PEFs) parametrized to bulk data are shown to perform poorly for small aluminum nanoparticles and clusters. In contrast, PEFs parametrized to a limited set of cluster and bulk data, but no nanoparticle data, perform well for nanoparticles. This validates a practical scheme for developing PEFs for nanoscale systems. Building on these findings, we optimized five PEFs by minimizing the error in the fit over a broad data set. Two of these PEFs have errors of less than or equal to 0.08 eV/atom for each of three categories of system sizes, i.e., for small clusters, for nanoparticles, and for bulk potential energies.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3915-3920 |
| Number of pages | 6 |
| Journal | Journal of Physical Chemistry B |
| Volume | 109 |
| Issue number | 9 |
| DOIs | |
| State | Published - Mar 10 2005 |
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