2021 Fiscal Year Research-status Report
PYRAMIDANES: NOVEL ORGANIC CLUSTERS
Project/Area Number |
21K05017
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Research Institution | University of Tsukuba |
Principal Investigator |
Lee Vladimir 筑波大学, 数理物質系, 講師 (90375410)
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Project Period (FY) |
2021-04-01 – 2024-03-31
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Keywords | cluster / silicon / pyramidane / Frustrated Lewis Pair / cyclobutadiene dianion / calculations / X-ray crystallography / group 14 element |
Outline of Annual Research Achievements |
In this project we planned to develop a synthetic route to new class of polyhedral organic and organometallic clusters, namely, pyramidanes of the types C[C4R4] and Si[Si4R4]. Such pyramidanes are very promising objects for both fundamental research and material science (silicon ceramics and nanomaterials). According to the project plan, during the first year we prepared precursors for pyramidanes, synthesized some pyramidanes, and started to study their reactivity.
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Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The research targets and plans of the first year of the project were mostly achieved based on the originally proposed synthetic plan: preparation of the cyclobutadiene dianion alkali metal salts as the immediate precursors for pyramidanes. The following step for the synthesis of target pyramidanes was computationally studied to search for the optimal reaction conditions. Moreover, some pyramidanes were synthesized and their reactivity was studied. Thus, during the first year, the project is proceeding well with no troubles and in accord with the original plan.
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Strategy for Future Research Activity |
In the second year of the project, we will expand the series of synthesized pyramidanes, first of all focusing on the preparation of all-carbon C[C4R4] and all-silicon Si[Si4R4] pyramidanes. Different synthetic approaches will be employed to achieve these targets, and the reaction conditions will be optimized to maximize their yields. All novel compounds will be fully characterized and computationally studied.
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