0000000000378753

AUTHOR

Alessandro Pavese

showing 11 related works from this author

Fe-periclase reactivity at Earth's lower mantle conditions: Ab-initio geochemical modelling

2017

Intrinsic and extrinsic stability of the (Mg, Fe) O solid mixture in the Fe-Mg-Si-O system at high P, T conditions relevant to the Earth's mantle is investigated by the combination of quantum mechanical calculations (Hartree-26 Fock/DFT hybrid scheme), cluster expansion techniques and statistical thermodynamics. Iron in the (Mg, Fe) O binary mixture is assumed to be either in the low spin (LS) or in the high spin (HS) state. Un-mixing at solid state is observed only for the LS condition in the 23-42 GPa pressure range, whereas HS does not give rise to un-mixing. LS (Mg, Fe) O un-mixings are shown to be able to incorporate iron by subsolidus reactions with a reservoir of a virtual bridgmanit…

Subsolidus reaction modellingMgO-FeO binary010504 meteorology & atmospheric sciencesSilicate perovskiteLower mantle geochemical heterogeneitiesAnalytical chemistryAb initioLower mantle geochemical heterogeneities MgO-FeO binary Mixing Gibbs energy Pyrolitic geochemical mode Subsolidus reaction modellingMineralogyengineering.material010502 geochemistry & geophysics01 natural sciencesMantle (geology)Geochemistry and PetrologyMixing Gibbs energy0105 earth and related environmental sciencesPyrolitic geochemical modeSettore GEO/06 - MineralogiaPyrolitic geochemical modelAmbientaleDiamondHartreePartition coefficientengineeringPericlaseMgO-FeO binaryPyrolitic geochemical modelLower mantle geochemical heterogeneitiesSubsolidus reaction modellingMixing Gibbs energyGeologyCluster expansion
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Melting temperature prediction by thermoelastic instability: An ab initio modelling, for periclase (MgO)

2021

Abstract Melting temperature (TM) is a crucial physical property of solids and plays an important role for the characterization of materials, allowing us to understand their behavior at non-ambient conditions. The present investigation aims i) to provide a physically sound basis to the estimation of TM through a “critical temperature” (TC), which signals the onset of thermodynamic instability due to a change of the isothermal bulk modulus from positive to negative at a given PC-VC-TC point, such that (∂P/∂V)VC,TC = -(∂2F/∂V2) VC,TC = 0; ii) to discuss the case of periclase (MgO), for which accurate melting temperature observations as a function of pressure are available. Using first princip…

010302 applied physicsMaterials scienceGeneral Chemical EngineeringAnharmonicity0211 other engineering and technologiesAb initioThermodynamics02 engineering and technologyGeneral ChemistryFunction (mathematics)engineering.material01 natural sciencesInstabilityComputer Science ApplicationsPhysical propertysymbols.namesakeThermoelastic dampingHelmholtz free energy0103 physical sciencessymbolsengineeringPericlase021102 mining & metallurgy
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Modelling of thermo-chemical properties over the sub-solidus MgO–FeO binary, as a function of iron spin configuration, composition and temperature

2014

Thermo-chemical properties and T–X phase relations diagram of the (Mg,Fe)O solid solution are modelled using mixing Helmholtz energy, ΔF(T,x)mixing, calculated by quantum mechanical and semi-empirical techniques. The sub-solidus MgO–FeO binary has been explored as a function of composition, with iron either in high-spin (HS) or low-spin (LS) configuration. Only the HS model provides physically sound results at room pressure, yielding a correct trend of cell edge versus composition, whereas LS’s issues are at variance with observations. Mixing Helmholtz energy has been parametrized by the following relationship: ΔF(T,x)mixing = x × y × [U0(T) + U1(T) × (x – y) + U2(T) × (x − y)2]−T × S(x,y)c…

ChemistryDegrees of freedom (physics and chemistry)(MgFe)OThermodynamicsSolidusMixing energyGibbs free energyMixing energy; Ab initio and semi-empirical modelling; (Mg; Fe)Osymbols.namesakeCrystallography(MgFe)O; Ab initio and semi-empirical modelling; Mixing energy; Geochemistry and Petrology; Materials Science (all)Geochemistry and PetrologyPhase (matter)Helmholtz free energysymbolsRelaxation (physics)General Materials ScienceMaterials Science (all)(MgFe)OAb initio and semi-empirical modellingMixing (physics)Solid solutionPhysics and Chemistry of Minerals
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Aluminium distribution in an Earth's non–primitive lower mantle

2020

The aluminium incorporation mechanism of perovskite was explored by means of quantum mechanics in combination with equilibrium/off-equilibrium thermodynamics under the pressure-temperature conditions of the Earth's lower mantle (from 24 to 80 GPa). Earth's lower mantle was modelled as a geochemically non-primitive object because of an enrichment by 3 wt% of recycled crustal material (MORB component). The compositional modelling takes into account both chondrite and pyrolite reference models. The capacity of perovskite to host Al was modelled through an Al2O3 exchange process in an unconstrained Mg-perovskite + Mg-Al-perovskite + free-Al2O3(corundum) system. Aluminium is globally incorporate…

Materials science010504 meteorology & atmospheric sciencesSocio-culturaleThermodynamicschemistry.chemical_elementCorundumengineering.materialAluminium bearing perovskite010502 geochemistry & geophysicsMole fraction01 natural sciencesPE10_11Aluminium distribution Earth’s lower mantle; aluminium bearing perovskite; pyrolite chondrite reference model; MORB component; enriched lower mantle composition; open system.Aluminium distributionPressure rangeGeochemistry and PetrologyChondriteAluminiumAluminium bearing perovskite; Aluminium distribution; Chondrite reference model; Earth's lower mantle; Enriched lower mantle composition; MORB component; Open system; PyroliteEnriched lower mantle compositionEarth’s lower mantleChemical composition0105 earth and related environmental sciencesEarth's lower mantleDrop (liquid)PyroliteMORB componentchemistryChondrite reference modelOpen systemPyroliteengineering
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Low-pressure ferroelastic phase transition in rutile-type AX2 minerals: cassiterite (SnO2), pyrolusite (MnO2) and sellaite (MgF2)

2019

The structural behaviour of cassiterite (SnO2), pyrolusite (MnO2) and sellaite (MgF2), i.e. AX2-minerals, has been investigated at room temperature by in situ high-pressure single-crystal diffraction, up to 14 GPa, using a diamond anvil cell. Such minerals undergo a ferroelastic phase transition, from rutile-like structure (SG: P42/mnm) to CaCl2-like structure (SG: Pnnm), at ≈ 10.25, 4.05 and 4.80 GPa, respectively. The structural evolution under pressure has been described by the trends of some structure parameters that are other than zero in the region of the low-symmetry phase’s stability. In particular, three tilting-angles (ω, ω′, ABS) and the metric distortion of the cation-centred oc…

DiffractionPhase transition010504 meteorology & atmospheric sciencesIonic bondingThermodynamicsengineering.material010502 geochemistry & geophysics01 natural scienceshigh-pressure diffraction ferroelastic phase transition cassiterite pyrolusite sellaiteGeochemistry and PetrologyCassiteriteGeneral Materials ScienceFerroelastic phase transition0105 earth and related environmental sciencesCassiterite; Ferroelastic phase transition; High-pressure diffraction; Pyrolusite; SellaitePyrolusiteSettore GEO/06 - MineralogiaChemistryCassiteriteSellaiteInfinitesimal strain theoryPyrolusiteOctahedronRutileengineeringHigh-pressure diffraction
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Electron-density critical points analysis and catastrophe theory to forecast structure instability in periodic solids

2018

The critical points analysis of electron density,i.e. ρ(x), fromab initiocalculations is used in combination with the catastrophe theory to show a correlation between ρ(x) topology and the appearance of instability that may lead to transformations of crystal structures, as a function of pressure/temperature. In particular, this study focuses on the evolution of coalescing non-degenerate critical points,i.e. such that ∇ρ(xc) = 0 and λ1, λ2, λ3≠ 0 [λ being the eigenvalues of the Hessian of ρ(x) atxc], towards degenerate critical points,i.e. ∇ρ(xc) = 0 and at least one λ equal to zero. The catastrophe theory formalism provides a mathematical tool to model ρ(x) in the neighbourhood ofxcand allo…

Hessian matrixElectron densitycatastrophe theory010504 meteorology & atmospheric sciencesCondensed Matter Physic010502 geochemistry & geophysics01 natural sciencesBiochemistryInstabilityInorganic Chemistrysymbols.namesakeStructural BiologyAb initio quantum chemistry methodsGeneral Materials Sciencephase/state transitions in crystalPhysical and Theoretical Chemistryphase/state transitions in crystalsEigenvalues and eigenvectors0105 earth and related environmental sciencesPhysicsab initio calculationelectron-density critical pointCondensed matter physicsab initio calculationsDegenerate energy levelsCondensed Matter PhysicsGibbs free energyelectron-density critical points catastrophe theory phase/state transitions in crystals ab initio calculations.symbolsMaterials Science (all)Catastrophe theoryelectron-density critical points
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The formation of silica high temperature polymorphs from quartz: Influence of grain size and mineralising agents

2015

Abstract The formation of high-temperature silica polymorphs in presence of Na and K has been studied at various temperatures and soaking times, starting from quartzes of different grain size, ex situ as well as in situ. The results show that cristobalite and tridymite formation is strongly influenced by the nature and the amount of mineraliser added. In particular, K seems to discriminate more between the two structures, as it produces the largest observed amount of cristobalite. The disappearance of quartz can be controlled by the proper combination of mineraliser/temperature/time, which in turn control the amount and the type of polymorph formed, together with the amount of amorphous mat…

Materials Chemistry2506 Metals and AlloysPhase transitionMaterials scienceMineraliser; Phase transition; Silica polymorphs; Ceramics and Composites; Materials Chemistry2506 Metals and AlloysCeramics and CompositeCristobaliteGrain sizeAmorphous solidSilica polymorphMineraliser; Phase transition; Silica polymorphsCrystallographyTridymiteChemical engineeringLinear combination of atomic orbitalsvisual_artMineraliserMaterials ChemistryCeramics and Compositesvisual_art.visual_art_mediumCeramicQuartzSilica polymorphsPhase transition
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Lower mantle hydrogen partitioning between periclase and perovskite : a quantum chemical modelling

2016

Abstract Partitioning of hydrogen (often referred to as H2O) between periclase (pe) and perovskite (pvk) at lower mantle conditions (24–80 GPa) was investigated using quantum mechanics, equilibrium reaction thermodynamics and by monitoring two H-incorporation models. One of these (MSWV) was based on replacements provided by Mg2+ ↔ 2H+ and Si4+ ↔ 4H+; while the other (MSWA) relied upon substitutions in 2Mg2+ ↔ Al3+ + H+ and Si4+ ↔ Al3+ + H+. H2O partitioning in these phases was considered in the light of homogeneous (Bulk Silicate Earth; pvk: 75%–pe:16% model contents) and heterogeneous (Layered Mantle; pvk:78%–pe:14% modal contents) mantle geochemical models, which were configured for lower…

010504 meteorology & atmospheric sciencesHydrogenpericlaseAnalytical chemistrySocio-culturalechemistry.chemical_elementengineering.material010502 geochemistry & geophysics01 natural sciencesMantle (geology)chemistry.chemical_compoundGeochemistry and PetrologyOrganic chemistryH2O-partitioningperovskiteEquilibrium constant0105 earth and related environmental sciencesChemistryAb-initio calculationslowermantle; H2O-partitioning; periclase; perovskite.SilicatePartition coefficientlower mantleAnhydrousengineeringPericlaseChemical equilibriumlower mantle H2O-partitioning Ab-initio calculations periclase perovskite
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About the reliability of the Maximum Entropy Method in reconstructing electron density: the case of MgO

2006

Abstract The reliability of the Maximum Entropy Method (MEM) to reconstruct finite temperature electron density (ED) is here discussed, investigating the case of periclase (MgO). A theoretical electron density has been generated by quantum mechanic calculations and folded with a function simulating atomic thermal motion, in order to produce a reference errorless ED [ρ(r)REF]. The Fourier coefficients of ρ(r)REF have been calculated, and used as “observed” diffraction intensities to reconstruct via MEM the original ED. The electron density attained by MEM [ρ(r)MEM] and ρ(r)REF have been compared with each other (pixel-by-pixel and critical points) to assess the ability of MEM to retrieve EDs…

DiffractionElectron densityYield (engineering)Basis (linear algebra)ChemistrypericlaseMaximum Entropy MethodMEMMgOFunction (mathematics)Condensed Matter PhysicsMEM; Maximum Entropy Method; electron density; periclase; MgOInorganic ChemistryTheoretical physicsOrder (group theory)General Materials Scienceelectron densityAtomic physicsFourier seriesQuantumZeitschrift für Kristallographie - Crystalline Materials
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Maximum entropy method : an unconventional approach to explore observables related to the electron density in phengites

2009

The maximum entropy method (MEM) is used here to get an insight into the electron density [rho(r)] of phengites 2M (1) and 3T, paying special attention to the M1-formally empty site and charge distribution. Room temperature single crystal X-ray diffraction data have been used as experimental input for MEM. The results obtained by MEM have been compared with those from conventional structure refinement which, in turn, has provided the prior-electron density to start the entropy maximization process. MEM reveals a comparatively non-committal approach, able to produce information related to the M1-site fractional occupancy, and yields results consistent with those from the difference Fourier s…

DiffractionElectron densityChemistryPhengites Electron density Maximum entropy methodCharge densityCharge (physics)phengites; electron density; maximum entropy methodMolecular physicsIonsymbols.namesakeCrystallographyFourier transformphengitesmaximum entropy methodGeochemistry and PetrologysymbolsGeneral Materials ScienceEntropy maximizationelectron densitySingle crystal
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Beyond the Vegard's law: solid mixing excess volume and thermodynamic potentials prediction, from end-members

2020

Abstract A method has been developed, herein presented, to model binary solid solutions' volume, enthalpy and Gibbs energy using the energy state functions, E ( V , S ) , of the end-members only. The E ( V , S ) s are expanded around an unknown mixing volume, V Mix , and the fundamental equilibrium equation − ( ∂ E / ∂ V ) S = P is used to determine V Mix . V Mix allows us to model enthalpy, straightforwardly. The same argument holds using Helmholtz energy, F ( V , T ) , in place of E ( V , S ) , and the equilibrium equation becomes − ( ∂ F / ∂ V ) T = P . One can readily determine the Gibbs free energy, too. The method presented remarkably simplifies computing of solid mixings' thermodynam…

PhysicsEnthalpyGeneral Physics and AstronomyThermodynamicsComputer simulation01 natural sciences010305 fluids & plasmasThermodynamic potentialGibbs free energysymbols.namesakeVolume (thermodynamics)Vegard's lawNitride materialHelmholtz free energy0103 physical sciencessymbols010306 general physicsMetals and alloyThermodynamic modelingMixing (physics)Solid solution
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