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1-羟基-4-甲基环己烷甲酰胺 | 101252-19-1

中文名称
1-羟基-4-甲基环己烷甲酰胺
中文别名
——
英文名称
1-Hydroxy-4-methyl-cyclohexancarbonsaeure-amid
英文别名
1-Hydroxy-4-methylcyclohexylcarboxamid;1-hydroxy-4-methyl-cyclohexanecarboxylic acid amide;Cyclohexanecarboxamide, 1-hydroxy-4-methyl-;1-hydroxy-4-methylcyclohexane-1-carboxamide
1-羟基-4-甲基环己烷甲酰胺化学式
CAS
101252-19-1
化学式
C8H15NO2
mdl
——
分子量
157.213
InChiKey
POLSQIBATFILAO-UHFFFAOYSA-N
BEILSTEIN
——
EINECS
——
  • 物化性质
  • 计算性质
  • ADMET
  • 安全信息
  • SDS
  • 制备方法与用途
  • 上下游信息
  • 反应信息
  • 文献信息
  • 表征谱图
  • 同类化合物
  • 相关功能分类
  • 相关结构分类

物化性质

  • 熔点:
    131-132 °C
  • 沸点:
    339.1±21.0 °C(Predicted)
  • 密度:
    1.120±0.06 g/cm3(Predicted)

计算性质

  • 辛醇/水分配系数(LogP):
    0.3
  • 重原子数:
    11
  • 可旋转键数:
    1
  • 环数:
    1.0
  • sp3杂化的碳原子比例:
    0.88
  • 拓扑面积:
    63.3
  • 氢给体数:
    2
  • 氢受体数:
    2

反应信息

  • 作为反应物:
    描述:
    参考文献:
    名称:
    Pyridylethylated Oxazolidinediones1
    摘要:
    DOI:
    10.1021/ja01540a034
  • 作为产物:
    描述:
    alkaline earth salt of/the/ methylsulfuric acid 在 ammonium hydroxide 作用下, 生成 1-羟基-4-甲基环己烷甲酰胺
    参考文献:
    名称:
    Risk-Sensitive and Robust Escape Control for Degenerate Diffusion Processes
    摘要:
    This paper considers the problem of controlling a possibly degenerate small noise diffusion so as to prevent it from leaving a prescribed set. The criterion of interest is a risk-sensitive version of the mean escape time criterion. Using a general representation formula, this criterion is expressed as the upper value of a stochastic differential game. It is shown that in the small noise limit this upper value converges to the value of an associated deterministic differential game. Our approach differs from standard FDE approaches in a number of ways. For example, the upper game representation allows one to relate directly the prelimit and the limit controls and, in fact, strategies that are nearly maximizing for the robust problem can be used to define nearly minimizing controls for the risk-sensitive control problem for sufficiently small epsilon > 0. The result provides a canonical example of the use of variational representations in connecting risk-sensitive and robust control.
    DOI:
    10.1007/pl00009877
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