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Molecular-Network Transformations in Tetra-Arsenic Triselenide Glassy Alloys Tuned within Nanomilling Platform.

Authors :
Shpotyuk, Oleh
Hyla, Malgorzata
Shpotyuk, Yaroslav
Lukáčová Bujňáková, Zdenka
Baláž, Peter
Demchenko, Pavlo
Kozdraś, Andrzej
Boyko, Vitaliy
Kovalskiy, Andriy
Source :
Molecules. Jul2024, Vol. 29 Issue 14, p3245. 20p.
Publication Year :
2024

Abstract

Polyamorphic transformations driven by high-energy mechanical ball milling (nanomilling) are recognized in a melt-quenched glassy alloy of tetra-arsenic triselenide (As4Se3). We employed XRPD analysis complemented by thermophysical heat-transfer and micro-Raman spectroscopy studies. A straightforward interpretation of the medium-range structural response to milling-driven reamorphization is developed within a modified microcrystalline model by treating diffuse peak-halos in the XRPD patterns of this alloy as a superposition of the Bragg-diffraction contribution from inter-planar correlations, which are supplemented by the Ehrenfest-diffraction contribution from inter-atomic and/or inter-molecular correlations related to derivatives of thioarsenide As4Sen molecules, mainly dimorphite-type As4Se3 ones. These cage molecules are merely destroyed under milling, facilitating the formation of a polymerized network with enhanced calorimetric heat-transfer responses. Disruption of intermediate-range ordering, due to weakening of the FSDP (the first sharp diffraction peak), accompanied by an enhancement of extended-range ordering, due to fragmentation of structural entities responsible for the SSDP (the second sharp diffraction peak), occurs as an interplay between medium-range structural levels in the reamorphized As4Se3 glass alloy. Nanomilling-driven destruction of thioarsenide As4Sen molecules followed by incorporation of their remnants into a glassy network is proved by micro-Raman spectroscopy. Microstructure scenarios of the molecular-to-network polyamorphic transformations caused by the decomposition of the As4Se3 molecules and their direct destruction under grinding are recognized by an ab initio quantum-chemical cluster-modeling algorithm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14203049
Volume :
29
Issue :
14
Database :
Academic Search Index
Journal :
Molecules
Publication Type :
Academic Journal
Accession number :
178690253
Full Text :
https://doi.org/10.3390/molecules29143245