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In-depth structural characterization and magnetic properties ofquaternary ferrite systems Co0.5Zn0.25M0.25Fe2O4(M¼Ni, Cu, Mn, Mg)
Nataša Novak Tušar, Myrjam Mertens, Aurel Pui, Iztok Arčon, Radu-G. Ciocarlan, Elena M. Seftel, Pegie Cool, 2019, izvirni znanstveni članek

Opis: This paper investigates the structural and magnetic properties of a mixed series of ferrites having generalformula Co0.5Zn0.25M0.25Fe2O4(M¼Ni, Cu, Mn, Mg). Insights on surface chemistry, structural andmorphological parameters are presented in order to achieve highly tuned ferrite systems with specificcharacteristics. The site occupancy of the cations in the spinel structure was determined using XAS, XRDand Raman spectroscopy. A 100% occupancy of the tetrahedral sites was observed for the Zn cations forall the samples. Co cations occupied the octahedral sites in proportion of 100% for CoeZneCu, CoeZneMg and around 80% for CoeZneNi, CoeZneMn. Ni cations were found only in the octahedral sites,while Cu 80% in the octahedral sites and Mn 60% in the octahedral sites. The cation distribution resultswere correlated with the magnetic properties data. At the same time, not only the cation distribution, butalso the particles size distribution was observed to have a great influence on magnetic and opticalproperties of the ferrites. Given the importance of the surface chemistry of the nanoparticles, XPS and FT-IR analysis were used to prove the functionalization with groups belonging to the surfactant. Moreover,the peculiar behavior of manganese in spinel structures was clarified and the origin of the multiple states(Mn2þand Mn4þ) was elucidated. Finally, parallels have been drawn between the use of different cationsin mixed ferrites in order to gain specific properties.
Najdeno v: ključnih besedah
Ključne besede: FerritesMagnetic propertiesSpinel nanoparticlesX-ray absorption spectroscopyCo-precipitation
Objavljeno: 23.10.2019; Ogledov: 1393; Prenosov: 0
.pdf Polno besedilo (2,11 MB)

Impact of bacterial ice nucleating particles on weather predicted by a numerical weather prediction model
Maher Sahyoun, Ulrik S. Korsholm, Jens H. Sørensen, Tina Šantl Temkiv, Kai Finster, Ulrich Gosewinkel, Niels Woetmann Nielsen, 2017, izvirni znanstveni članek

Najdeno v: ključnih besedah
Povzetek najdenega: ...Heterogeneous ice nucleation, Bacterial INP, Cloud ice, Precipitation, Global solar radiation, Numerical weather prediction model...
Ključne besede: Heterogeneous ice nucleation, Bacterial INP, Cloud ice, Precipitation, Global solar radiation, Numerical weather prediction model
Objavljeno: 04.01.2021; Ogledov: 703; Prenosov: 0
.pdf Polno besedilo (4,40 MB)

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