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Construction and Systematical Symmetric Studies of a Series of Supramolecular Clusters with Binary or Ternary Ammonium Triphenylacetates
Published on: February 15, 2016
A 14-vertex bud-shaped [(Cp*Ti)2B12H18] cluster
Subhash Bairagi1, Debipada Chatterjee1, Deepak Kumar Patel1
1Department of Chemistry, Indian Institute of Technology Madras, Chennai 600036, India. sghosh@iitm.ac.in.
Two novel titanaborane clusters were synthesized and characterized. Cluster 1, a 14-vertex macropolyhedral titanaborane, exhibits unique structural features and does not adhere to established cluster counting rules.
Area of Science:
- Organometallic Chemistry
- Boron Chemistry
- Coordination Chemistry
Background:
- Titanaboranes are organometallic compounds containing titanium and boron.
- Macropolyhedral clusters represent complex, fused boron cage structures.
- Understanding cluster fusion rules is key to predicting and synthesizing novel boron cage compounds.
Purpose of the Study:
- To synthesize and structurally characterize novel macropolyhedral titanaboranes.
- To investigate the structural motifs and bonding in these complex clusters.
- To explore the applicability of existing theoretical rules (Mingos, Jemmis) to these new structures.
Main Methods:
- Synthesis of titanaborane clusters via chemical reactions.
- Single-crystal X-ray diffraction for structural determination.
- Spectroscopic and analytical techniques for characterization.
Main Results:
- Synthesis and structural characterization of a 14-vertex titanaborane, [(Cp*Ti)2B12H18] (1).
- Synthesis and isolation of a 17-vertex titanaborane, [(Cp*Ti)2(B15H20)(µ-SH)] (2).
- Cluster 1 features fused arachno-subclusters with inter-subcluster B-B linkages, deviating from established fusion formalisms.
Conclusions:
- The discovery of unusual titanaborane structures expands the known diversity of boron clusters.
- Cluster 1's unique geometry and failure to follow established rules highlight limitations in current theoretical models.
- Further research is needed to refine theoretical frameworks for predicting complex boron cluster structures.
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