Thermodynamics of metal nanoparticles: Energies and enthalpies of formation of magnesium clusters and nanoparticles as large as 1.3 nm

Kaining Duanmu, Joachim Friedrich, Donald G Truhlar

Research output: Contribution to journalArticle

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Abstract

The major obstacle that prevents reliable electronic structure studies of nanoparticles is the rapid increasing computational cost for benchmark calculations using coupled-cluster methods. We show that a CCSD(T) scheme with an MP2/CBS correction can reproduce accurate cohesive energies for magnesium clusters, and this scheme is much less computationally demanding than other reliable methods, so it is applied to Mgn with n up to 19, which enters the realm of nanoparticles. (The diameters of all Mg clusters n = 11 are >1 nm). With the extended benchmark data, we validate exchange-correlation functionals into the nanoparticle regime and use the two bestvalidated functionals to calculate the enthalpy of formation of Mg28, with a diameter of 1.30 nm. We also calculated the enthalpy of formation of all Mg clusters and nanoparticles from Mg2 to Mg19. This kind of reliable thermodynamic data on size-selected metal nanoparticles has been hard to come by, either experimentally or theoretically, but it is badly needed to support applications in catalysis, electrochemistry, and other technologies.

Original languageEnglish (US)
Pages (from-to)26110-26118
Number of pages9
JournalJournal of Physical Chemistry C
Volume120
Issue number45
DOIs
StatePublished - Nov 17 2016

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Metal nanoparticles
Magnesium
magnesium
Enthalpy
enthalpy
Thermodynamics
Nanoparticles
nanoparticles
thermodynamics
metals
functionals
energy
Electrochemistry
Catalyst supports
Catalysis
Electronic structure
electrochemistry
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Thermodynamics of metal nanoparticles : Energies and enthalpies of formation of magnesium clusters and nanoparticles as large as 1.3 nm. / Duanmu, Kaining; Friedrich, Joachim; Truhlar, Donald G.

In: Journal of Physical Chemistry C, Vol. 120, No. 45, 17.11.2016, p. 26110-26118.

Research output: Contribution to journalArticle

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