C
Christopher C. Cummins
Researcher at Massachusetts Institute of Technology
Publications - 362
Citations - 13478
Christopher C. Cummins is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Triple bond & Reactivity (chemistry). The author has an hindex of 62, co-authored 342 publications receiving 12073 citations. Previous affiliations of Christopher C. Cummins include University of Miami & Harvard University.
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Diazomethane umpolung atop anthracene: an electrophilic methylene transfer reagent
TL;DR: Formal addition of diazomethane's terminal nitrogen atom to the 9,10-positions of anthracenes yields H2CN2A (1, A = C14H10 or anthracene).
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Reactions of Tri-tert-Butylphosphatetrahedrane as a Spring-Loaded Phosphinidene Synthon Featuring Nickel-Catalyzed Transfer to Unactivated Alkenes.
TL;DR: In this article , the authors described the cage-opening reactions of the highly strained tri-tert-butylphosphatetrahedrane (1), shown here to function as a synthon of (tri-TERT-Butylcyclopropenyl)phosphinidene, and reported on nickel-catalyzed phosphinidane transfer to styrene, ethylene, neohexene and 1,3-cyclohexadiene.
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Three‐Coordinate Complexes of “Hard” Ligands: Advances in Synthesis, Structure and Reactivity
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Alleviating Strain in Organic Molecules by Incorporation of Phosphorus: Synthesis of Triphosphatetrahedrane.
TL;DR: The first tetrahedranes containing a mixed carbon/phosphorus core were reported in this article, where tetrahydrofuran (THF) solutions of the parent triphosphatetrahedrane HCP3 may be generated in 31% yield (NMR internal standard yield) by combining [Na(THF), P3Nb(ODipp)3] (Dipp = 2,6-diisopropylphenyl), INb(OF), and bromodichloromethane in thawing TH
Posted Content
Autotuning OpenCL Workgroup Size for Stencil Patterns
TL;DR: This work proposes the use of machine learning-enabled autotuning to automatically predict workgroup sizes for stencil patterns on CPUs and multi-GPUs, and evaluates the effectiveness of each technique in an empirical study of 429 combinations of architecture, kernel, and dataset.