[1]naphthyl-triphenyl-silane | 18768-92-8

• 分子结构分类: 有机化合物 - 苯类化合物 - 萘
• 英文名称: [1]naphthyl-triphenyl-silane
• 英文别名: [1]Naphthyl-triphenyl-silan；1-Naphthyltriphenylsilan；naphthalen-1-yl(triphenyl)silane
• CAS: 18768-92-8
• 化学式: C₂₈H₂₂Si
• 分子量: 386.568
• InChiKey: HUTBJSIGEGYCLZ-UHFFFAOYSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  4.22
• 重原子数：
  29
• 可旋转键数：
  4
• 环数：
  5.0
• sp3杂化的碳原子比例：
  0.0
• 拓扑面积：
  0
• 氢给体数：
  0
• 氢受体数：
  0

反应信息

• 作为产物：
  描述：

  1 - 萘基三乙氧基硅烷 在 C₆H₅MgBr 作用下， 以 not given 为溶剂， 生成 [1]naphthyl-triphenyl-silane
  参考文献：
  名称：

  Petrov, A. D.; Chugunov, V. S., Doklady Akademii Nauk SSSR, 1950, vol. 73, p. 323 - 326

  摘要：

  DOI：

文献信息

• Nickel-catalyzed cross-coupling reaction of carbamates with silylmagnesium reagents
  作者：Vetrivelan Murugesan、Venkadesh Balakrishnan、Ramesh Rasappan

  DOI：10.1016/j.jcat.2019.07.026

  日期：2019.9

  kinetically inert in cross-coupling reactions compared to those of carbon–halogen bonds. Thus, developing methodologies for the activation of CO bonds in cross-coupling reactions remains a major challenge. We disclose an unprecedented nickel mediated cross-coupling of carbamates with silylmagnesium reagents that does not require the expensive silylboranes. Silylmagnesium reagents were prepared from either silyllithium

  与碳-卤素键相比，C O键在交叉偶联反应中具有动力学惰性。因此，开发用于交叉偶联反应中CO键活化的方法学仍然是主要挑战。我们公开了前所未有的镍介导的氨基甲酸酯与甲硅烷基镁试剂的镍介导的交叉偶联，不需要昂贵的甲硅烷基硼烷。甲硅烷基镁试剂是由甲硅烷基锂或甲硅烷基碘制备的。该方法的特征在于三甲基甲硅烷基偶联产物的合成及其合成应用。动力学研究和自由基钟实验揭示了限速C O键断裂，相对于催化剂的半数级和非自由基过渡态。
• The Alkaline Cleavage of Tetrasubstituted Silanes
  作者：Henry Gilman、A. G. Brook、Lewis S. Miller

  DOI：10.1021/ja01114a042

  日期：1953.9
• Some 1-Naphthylsilicon Compounds
  作者：Henry Gilman、Cecil G. Brannen

  DOI：10.1021/ja01154a043

  日期：1951.10
• Gmelin Handbuch der Anorganischen Chemie, Gmelin Handbook: Si: MVol.C, 28, page 86 - 90
  作者：

  DOI：——

  日期：——
• Adaptive Mollifiers for High Resolution Recovery of Piecewise Smooth Data from its Spectral Information
  作者：Eitan Tadmor、Jared Tanner

  DOI：10.1007/s102080010019

  日期：2002.1

  We discuss the reconstruction of piecewise smooth data from its (pseudo-) spectral information. Spectral projections enjoy superior resolution provided the data is globally smooth, while the presence of jump discontinuities is responsible for spurious O(1) Gibbs oscillations in the neighborhood of edges and an overall deterioration of the unacceptable first-order convergence in rate. The purpose is to regain the superior accuracy in the piecewise smooth case, and this is achieved by mollification.Here we utilize a modified version of the two-parameter family of spectral mollifiers introduced by Gottlieb and Tadmor [GoTa85]. The ubiquitous one-parameter, finite-order mollifiers are based on dilation. In contrast, our mollifiers achieve their high resolution by an intricate process of high-order cancellation. To this end, we first implement a localization step using an edge detection procedure [GeTa00a, b]. The accurate recovery of piecewise smooth data is then carried out in the direction of smoothness away from the edges, and adaptivity is responsible for the high resolution. The resulting adaptive mollifier greatly accelerates the convergence rate, recovering piecewise analytic data within exponential accuracy while removing the spurious oscillations that remained in [GoTa85]. Thus, these adaptive mollifiers offer a robust, general-purpose "black box" procedure for accurate post-processing of piecewise smooth data.