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Updated: Oct 1, 2026

Construction and Systematical Symmetric Studies of a Series of Supramolecular Clusters with Binary or Ternary Ammonium Triphenylacetates
Published on: February 15, 2016
Crystal structures and electronic structures of SrSiSe3 and BaGeSe3
Tristan Licskai1, Abdeljalil Assoud1, Ehsan Niknam1
1Department of Chemistry and Waterloo Institute for Nanotechnology, University of Waterloo Waterloo Ontario N2L 3G1 Canada kleinke@uwaterloo.ca.
Abstract:
The structural diversity of ternary chalcogenides with the ABQ3 stoichiometry remains incompletely understood, particularly in systems where computational predictions have proposed structures that differ from experimentally accessible phases. This study reports the experimental crystal structures of the selenides SrSiSe3 and BaGeSe3, with the former being reported for the first time, and the latter revealing a unique structure type that differs from the previously calculated one. SrSiSe3 adopts the centrosymmetric monoclinic space group P21/c with lattice parameters a = 6.6948(2) Å, b = 17.4606(4) Å, c = 15.8647(3) Å, β = 117.0100(10)°, and features pairs of edge-sharing SiSe4 tetrahedra. BaGeSe3 adopts the same space group, P21/c, with a = 15.6603(7) Å, b = 6.0379(3) Å, c = 14.0072(6) Å, and β = 116.3830(10)°, but exhibits a distinctly different structural motif consisting of chains of corner-sharing GeSe4 tetrahedra. Comparisons with reported and calculated structures across the ABQ3 family highlight the substantial structural diversity accessible within this simple stoichiometry and demonstrate the importance of experimental structure determinations or global structure predictions in evaluating unknown structures. DFT calculations further indicate that SrSiSe3 and BaGeSe3 are semiconductors with calculated band gaps of 2.15 eV and 1.65 eV, respectively, placing both materials within the visible energy range. These results expand the known structural chemistry of ABQ3 ternary selenides and provide experimentally validated structures for assessing structure-property relationships and the reliability of computational predictions in this family.
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