2017
DOI: 10.3190/jgeosci.231
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Hydrogen bonding and structural complexity of the Cu3(AsO4)(OH)3 polymorphs (clinoclase, gilmarite): a theoretical study

Abstract: Density functional theory (DFT) is used to determine positions of H atoms and to investigate hydrogen bonding in the crystal structures of two polymorphs of Cu 3 (AsO 4 )(OH) 3 : clinoclase and gilmarite. Hydrogen bonds in clinoclase involve interactions between hydroxyl groups and O atoms of arsenate tetrahedra, whereas the crystal structure of gilmarite features OH … OH bonding, which is rather uncommon in copper hydroxy-oxysalts. Information-based parameters of structural complexity for clinoclase and gilma… Show more

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Cited by 15 publications
(6 citation statements)
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“…The calculations of the structural complexity parameters for different anorthite polymorphs were performed using the TOPOSPro software package [58] and the values are given in Table 6. It can be seen that the crystal structures of the metastable CaAl2Si2O8 polymorphs dmisteinbergite and svyatoslavite are much simpler than that of anorthite, in good agreement with Goldsmith's principle and similar previous observations [22][23][24][25][26][27][28]59,60].…”
Section: Discussionsupporting
confidence: 87%
See 1 more Smart Citation
“…The calculations of the structural complexity parameters for different anorthite polymorphs were performed using the TOPOSPro software package [58] and the values are given in Table 6. It can be seen that the crystal structures of the metastable CaAl2Si2O8 polymorphs dmisteinbergite and svyatoslavite are much simpler than that of anorthite, in good agreement with Goldsmith's principle and similar previous observations [22][23][24][25][26][27][28]59,60].…”
Section: Discussionsupporting
confidence: 87%
“…Their formation can be explained using Goldsmith's principle of simplexity [21], which states that metastable kinetic mineral phases are structurally simpler than their stable thermodynamic counterparts. This principle, first formulated in 1953, was recently verified using information-based structural complexity measures and checked against mineral systems with different chemical compositions [22][23][24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%
“…Krivovichev (2013) provided an overview of relations between structural complexity and metastable crystallisation based upon the Goldsmith's simplexity principle that states that simple structures crystallise more easily. This idea was supported by many subsequent observations, including metastable feldspar polymorphs (Zolotarev et al , 2019; Krivovichev, 2020, and references therein), perovskite-group minerals (Zaitsev et al , 2017), uranyl minerals (Plášil et al , 2018b, 2018c), sulfates (Plášil et al , 2017; Majzlan et al , 2018), phosphates and arsenates (Krivovichev et al , 2016; Krivovichev, 2017; Kolitsch et al , 2020), Cu 2 (OH) 3 Cl polymorphs (Krivovichev et al , 2017), borates (Grew et al , 2016), borosilicates (Cempírek et al , 2016), oxalates (Huskić et al , 2019), etc. In his review on metastable-mineral formation in oxidation zones and mine wastes, Majzlan (2020) recently noted that “a quantitative link…” between structural complexity and metastability “…is missing”.…”
Section: Further Directionsmentioning
confidence: 68%
“…The 'Get Locality Counts' feature was used to extract the number of localities associated with each species from the MED. The structural complexity parameters were calculated using the published crystallographic information files (CIFs) input into the ToposPro software package (Blatov et al, 2000), using methods developed by Dr. Sergey Krivovichev (Krivovichev, 2013(Krivovichev, , 2016(Krivovichev, , 2017. Many of the other parameters, such as hardness, colour, lustre, space group and density, were manually extracted from the Handbook of Mineralogy (HoM; Anthony et al, 1990Anthony et al, -2003.…”
Section: Mineral Properties Databasementioning
confidence: 99%