1) fluorine-containing aromatic nitro-compound
含氟芳香硝基族化合物
2) aromatic fluorine compound
含氟芳香族化合物
1.
Tetramethylammonium fluoride (TMAF) could be used as fluorodenitration reagent in synthesis of aromatic fluorine compounds from nitroaromatics.
四甲基氟化铵作为芳香族硝基化合物氟代脱硝试剂 ,用于合成含氟芳香族化合物 ,具有反应条件温和 ,产物收率高 ,副反应少的优
2.
Tetramethylammonium fluoride(TMAF) could be used as fluorodenitration reagent in the synthesis of aromatic fluorine compounds from nitroaromatics.
四甲基氟化铵作为芳香族硝基化合物氟代脱硝试剂 ,用于合成含氟芳香族化合物 ,有反应条件温和 ,产物收率高 ,副反应少的优
3) aromatic nitro compounds
芳香族硝基化合物
1.
Reduction of aromatic nitro compounds with hydrazine hydrate catalyzed by CuO-Al_2O_3 in water;
水中CuO-Al_2O_3催化水合肼还原芳香族硝基化合物
2.
In water,a series of aromatic nitro compounds have been reduced in good yield to the corresponding anilines with hydrazine hydrate in the presence of an CuO/Al2O3 catalyst prepared by rapid precipitation from solution of CuCl2and AlCl3 with sodium hydroxide.
在水中用CuO/Al2O3催化水合肼还原芳香族硝基化合物高收率得到芳胺。
3.
Under the same conditions,a few of aromatic nitro compounds were reduced to the corresponding anilines in 97.
在相同的条件下,Ni(Ⅱ)树脂催化NaBH4还原几种芳香族硝基化合物得到相应的芳胺,收率97。
4) aromatic polynitro compounds
芳香族多硝基化合物
1.
The densities of a series of aromatic polynitro compounds are predicted via an artificial neural network(ANN) based on erroneous reversed dissemination method.
运用神经网络模型,采用误差反向传播算法,对一系列芳香族多硝基化合物的密度进行了预测。
5) PNACs
多硝基芳香族化合物
1.
The densities of polynitroaromatic compounds(PNACs) are predicted by Boosting algorithm.
采用Boosting算法对多硝基芳香族化合物(PNACs)的密度进行预估。
6) non-aromatic polynitro compound
非芳香族多硝基化合物
1.
With the help of an improved back propagation algorithm on Artificial Neural Network (ANN) model and molecular structure descriptors as inputted characteristic parameters were used to predict the enthalpy of formation ΔH~0f for non-aromatic polynitro compounds (NAPNCs).
用误差反向传播(BP)的人工神经网络模型及分子结构描述码作为输入特征参数预测非芳香族多硝基化合物的生成焓,研究了网络参数及分子结构描述码的影响,同时按分子结构描述码进行了多元线性回归,取得了满意的结果,其回归方程相关系数达到了0。
补充资料：后族
1.皇后的亲族。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条