<p>A quantitative structure–property relationship (QSPR) study is carried out to develop correlations that relate the molecular structures of organic compounds (Aliphatic Alkanes) to their normal boiling point (NBP) and two correlations were proposed for constitutionals and connectivity indices Models. The correlations are simple in application with good accuracy, which provide an easy, direct and relatively accurate way to calculate NBP. Such calculation gives us a model that gives results in remarkable correlations with the descriptors of blokes constitutionals (CON), and connectivity indices (CI) (R<sup>2</sup> = 0.950, δ = 0.766) (R<sup>2</sup> = 0.969, δ = 0.782) respectively.</p
2 Quantitative structure property relationships (QSPRs) play an important role in correlation and es...
A molecular similarity measure has been used to estimate the normal boiling points of a set of 267 h...
The normal boiling point is a fundamental thermo-physical property, which is important in describing...
A quantitative structure–property relationship (QSPR) study is carried out to develop correlations t...
We report the results of a calculation of the normal boiling points of a representative set of 200 o...
We report the results of a calculation of the normal boiling points of a representative set of 200 o...
Three QSPR models for the prediction of the critical temperature, the critical pressure and the norm...
Quantitative structural property relations (QSPRs) for boiling points of aliphatic hydrocarbons were...
ABSTRACT: (0, 1)-codes reflected presence / absence of six-and fivemembers cycles produce considerab...
ABSTRACT Quantitative Structure � Property Relationships (QSPR) analysis of the Melting Point (m.p...
Various quantum chemical descriptors such as ionisation potential (I), electron affinity (A), quantu...
Quantitative structure-property relationship (QSPR) models were derived for predicting boiling point...
Quantitative structure-property relationship (QSPR) models were derived for predicting boiling point...
A quantitative structure-property relationships (QSPR) was used in this study to relate the critical...
A Quantitative Structure-Property Relationship (QSPR) analysis and study of polycyclic aromatic hydr...
2 Quantitative structure property relationships (QSPRs) play an important role in correlation and es...
A molecular similarity measure has been used to estimate the normal boiling points of a set of 267 h...
The normal boiling point is a fundamental thermo-physical property, which is important in describing...
A quantitative structure–property relationship (QSPR) study is carried out to develop correlations t...
We report the results of a calculation of the normal boiling points of a representative set of 200 o...
We report the results of a calculation of the normal boiling points of a representative set of 200 o...
Three QSPR models for the prediction of the critical temperature, the critical pressure and the norm...
Quantitative structural property relations (QSPRs) for boiling points of aliphatic hydrocarbons were...
ABSTRACT: (0, 1)-codes reflected presence / absence of six-and fivemembers cycles produce considerab...
ABSTRACT Quantitative Structure � Property Relationships (QSPR) analysis of the Melting Point (m.p...
Various quantum chemical descriptors such as ionisation potential (I), electron affinity (A), quantu...
Quantitative structure-property relationship (QSPR) models were derived for predicting boiling point...
Quantitative structure-property relationship (QSPR) models were derived for predicting boiling point...
A quantitative structure-property relationships (QSPR) was used in this study to relate the critical...
A Quantitative Structure-Property Relationship (QSPR) analysis and study of polycyclic aromatic hydr...
2 Quantitative structure property relationships (QSPRs) play an important role in correlation and es...
A molecular similarity measure has been used to estimate the normal boiling points of a set of 267 h...
The normal boiling point is a fundamental thermo-physical property, which is important in describing...