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dc.contributor.authorde la Pierre, Marco
dc.contributor.authorDemichelis, Raffaella
dc.contributor.authorDovesi, R.
dc.date.accessioned2017-03-24T11:52:45Z
dc.date.available2017-03-24T11:52:45Z
dc.date.created2017-03-23T06:59:50Z
dc.date.issued2016
dc.identifier.citationPierre, M. and Demichelis, R. and Dovesi, R. 2016. Vibrational Spectroscopy of Minerals through Ab Initio Methods. In Molecular Modeling of Geochemical Reactions: An Introduction, 341-374. United States: Wiley.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/51335
dc.identifier.doi10.1002/9781118845226.ch10
dc.description.abstract

This chapter provides examples that demonstrate the usefulness of ab initio (first principles) simulation in analysing the lattice dynamics and vibrational spectroscopic response of minerals. It focuses on the details of vibrational spectroscopies, namely, infrared, Raman and related techniques, as modelled through first principles methods. The chapter shows how the various tools and methods can be successfully applied to investigate the vibrational properties of mineral systems. Minerals belonging to diverse groups (carbonates, pyroxenes, oxides and hydroxides) are considered, so as to include a variety of compositions, structural motifs and physical properties. In the past few years, quantum mechanical ab initio schemes have been successfully applied to make crystal structural predictions and to unambiguously determine the atomic structure of minerals and solid-state systems. In this context, computing the vibrational spectrum provides information about the topography of the PES around the equilibrium position, as normal modes are obtained directly from second derivatives.

dc.titleVibrational Spectroscopy of Minerals through Ab Initio Methods
dc.typeBook Chapter
dcterms.source.startPage341
dcterms.source.endPage374
dcterms.source.titleMolecular Modeling of Geochemical Reactions
dcterms.source.placeUnited States
dcterms.source.chapter11
curtin.departmentDepartment of Chemistry
curtin.accessStatusFulltext not available


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