| Ab initio determination of structure-property relationships in alloy nanoparticles | |
| Article | |
| 关键词: EFFECTIVE CLUSTER INTERACTIONS; VARIATION FORMALISM; REACTIVITY; NANOSCALE; HYDROGEN; SURFACES; METALS; SIZE; | |
| DOI : 10.1103/PhysRevB.86.144201 | |
| 来源: SCIE | |
【 摘 要 】
I present a computational study on atomic order in 2-nm cuboctahedral Au-Pd nanoparticles. Equilibrium atomic structures, energies, and electronic surface d-band centers have been calculated across the entire range of compositions at different temperatures using a Bayesian approach to cluster expansions. The estimated prediction error in formation energies calculated by the cluster expansion, relative to density functional theory, is approximately 1 meV/atom. This prediction error would be low for a cluster expansion on a bulk material, and it is exceptionally low for a study of nanoparticles of this size. This result was accomplished by extending the Bayesian approach for cluster expansions to account for nonlocal, composition-dependent effects that might otherwise not be captured. For this system the Bayesian approach is estimated to be approximately five times as efficient as more common cluster selection techniques.
【 授权许可】
Free