2018
DOI: 10.1039/c8ta00759d
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Relative stability of FeS2polymorphs with the random phase approximation approach

Abstract: We highlight the role of electron correlation in the correct prediction of the relative stability of FeS2polymorphs by ACFDT-RPA.

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Cited by 26 publications
(31 citation statements)
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“…The latter study established that functions of the surface ligands affect the stability of FeS 2 (FeS 2 nanorods synthesized in laboratory) (Barand and Russo, 2009 ). The stability of FeS contributed to low energy excitation from Fe d to S-Sσ * p (Zhang et al, 2018 ). Fe 3 S 4 was observed at 200°C for 30 h then it transformed to FeS 2 over time (Gao et al, 2015 ).…”
Section: Characteristics Of Nano-sized Iron Sulfidesmentioning
confidence: 99%
See 1 more Smart Citation
“…The latter study established that functions of the surface ligands affect the stability of FeS 2 (FeS 2 nanorods synthesized in laboratory) (Barand and Russo, 2009 ). The stability of FeS contributed to low energy excitation from Fe d to S-Sσ * p (Zhang et al, 2018 ). Fe 3 S 4 was observed at 200°C for 30 h then it transformed to FeS 2 over time (Gao et al, 2015 ).…”
Section: Characteristics Of Nano-sized Iron Sulfidesmentioning
confidence: 99%
“…In addition, the phases of iron sulfide in nature include mackinawite (FeS), pyrrhotite (Fe 1−x S), pyrite (FeS 2 ), and greigite (Fe 3 S 4 ), etc., which exhibit more variability than iron oxide containing only Fe 2 O 3 and Fe 3 O 4 . The band gap in iron sulfide is smaller than that of iron oxide, leading to the former having more appropriate electron transfer and conductivity (Wadia et al, 2009 ; Jin et al, 2017 ; Zhang et al, 2018 ). Importantly, iron-sulfur clusters are important cofactors in many enzymes which serve as active centers for electron transfer in catalytic processes and respiratory chain reactions (Qi and Cowan, 2011 ).…”
Section: Introductionmentioning
confidence: 99%
“…An entirely discrete challenge for functionals is the ground state structure prediction problem because a ground state is either correctly stabilized or not. Only a limited number of case studies are available in the recent literature where SCAN is benchmarked on structure selection, focusing on MnO2 [20], FeS2 [21], Ce2O3, Mn2O3, Fe3O4 [22], TiO2 [23], as well as broad benchmarking work [24] on binary main group compounds observing that SCAN is more accurate than PBE in ground state structure prediction. However, there is no established rationalization of the origin of structure prediction accuracy given by the SCAN functional, except in systems where self-interaction is a known problem which can be addressed otherwise through a Hubbard U correction or higher order methods.…”
Section: Introductionmentioning
confidence: 99%
“…However, the error can be detrimental to the numerical accuracy of methods where the summation over unoccupied states is required, e.g. GW and DFT methods with density approximations belonging to the fifth rung of Jacobi ladder ( Perdew and Schmidt, 2001 ) such as the adiabatic-connection dissipation-fluctuation (ACFD) calculation under RPA for ground-state energy ( Ren et al, 2012 ; Cui et al, 2016 ; Zhang et al, 2018 ). In these methods, the completeness of summation and quality of unoccupied states play a crucial role.…”
Section: Theory and Methodsmentioning
confidence: 99%