quantitative structure property relationship Latest Research Papers

Quantitative Structure-Property Relationship for Predicting the Diffusion Coefficient of Ionic Liquids

Journal of Molecular Liquids ◽

10.1016/j.molliq.2022.118476 ◽

2022 ◽

pp. 118476

Author(s):

Yongjun Xiao ◽

Fan Song ◽

Shuhao An ◽

Fazhan Zeng ◽

Yingjie Xu ◽

...

Keyword(s):

Diffusion Coefficient ◽

Ionic Liquids ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship

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Integrated machine learning-quantitative structure property relationship (ML-QSPR) and chemical kinetics for high throughput fuel screening toward internal combustion engine

Fuel ◽

10.1016/j.fuel.2021.121908 ◽

2022 ◽

Vol 307 ◽

pp. 121908

Author(s):

Runzhao Li ◽

Jose Martin Herreros ◽

Athanasios Tsolakis ◽

Wenzhao Yang

Keyword(s):

Machine Learning ◽

Internal Combustion Engine ◽

Chemical Kinetics ◽

High Throughput ◽

Combustion Engine ◽

Internal Combustion ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Structure Property Relationship

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Probabilistic Mean Quantitative Structure–Property Relationship Modeling of Jet Fuel Properties

Energy & Fuels ◽

10.1021/acs.energyfuels.1c03334 ◽

2021 ◽

Author(s):

Clemens Hall ◽

Benoit Creton ◽

Bastian Rauch ◽

Uwe Bauder ◽

Manfred Aigner

Keyword(s):

Jet Fuel ◽

Fuel Properties ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship

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Polymer informatics based on the quantitative structure-property relationship using a machine-learning framework for the physical properties of polymers in the ATHAS data bank

Thermochimica Acta ◽

10.1016/j.tca.2021.179135 ◽

2021 ◽

pp. 179135

Author(s):

Kazuhiko Ishikiriyama

Keyword(s):

Machine Learning ◽

Physical Properties ◽

Data Bank ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Learning Framework ◽

Property Relationship ◽

Structure Property Relationship

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Development of Quantitative Structure-Property Relationship to Predict the Viscosity of Deep Eutectic Solvent for CO2 Capture using Molecular Descriptor

Journal of Molecular Liquids ◽

10.1016/j.molliq.2021.118239 ◽

2021 ◽

pp. 118239

Author(s):

Kiki Adi Kurnia ◽

Megawati Zunita ◽

João A. P. Coutinho ◽

I Gede Wenten ◽

Djoko Santoso

Keyword(s):

Co2 Capture ◽

Molecular Descriptor ◽

Deep Eutectic Solvent ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship

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Quantitative structure–property relationship of Ev‐degree and Ve‐degree based topological indices with physico‐chemical properties of benzene derivatives and application

International Journal of Quantum Chemistry ◽

10.1002/qua.26851 ◽

2021 ◽

Author(s):

Abdul Rauf ◽

Muhammad Naeem ◽

Saira Usman Bukhari

Keyword(s):

Chemical Properties ◽

Topological Indices ◽

Benzene Derivatives ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Physico Chemical ◽

Structure Property Relationship ◽

Relationship Of

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Quantitative structure–property relationship of edge weighted and degree‐based entropy of benzene derivatives

International Journal of Quantum Chemistry ◽

10.1002/qua.26839 ◽

2021 ◽

Author(s):

Abdul Rauf ◽

Muhammad Naeem ◽

Adnan Aslam

Keyword(s):

Benzene Derivatives ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship ◽

Relationship Of

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Machine learning-quantitative structure property relationship (ML-QSPR) method for fuel physicochemical properties prediction of multiple fuel types

Fuel ◽

10.1016/j.fuel.2021.121437 ◽

2021 ◽

Vol 304 ◽

pp. 121437

Author(s):

Runzhao Li ◽

Jose Martin Herreros ◽

Athanasios Tsolakis ◽

Wenzhao Yang

Keyword(s):

Machine Learning ◽

Physicochemical Properties ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship

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Water Solubility Trends in Ionic Liquids: The Quantitative Structure–Property Relationship Model versus Molecular Dynamics

The Journal of Physical Chemistry B ◽

10.1021/acs.jpcb.1c06133 ◽

2021 ◽

Author(s):

Carlos E. S. Bernardes ◽

Kyrylo Klimenko ◽

José N. Canongia Lopes

Keyword(s):

Molecular Dynamics ◽

Ionic Liquids ◽

Water Solubility ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship ◽

Relationship Model ◽

Model Versus

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Prediction of Infinite Dilution Molar Conductivity for Unconventional Ions: A Quantitative Structure–Property Relationship Study

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.1c03019 ◽

2021 ◽

Author(s):

Fan Song ◽

Yongjun Xiao ◽

Shuhao An ◽

Ren Wan ◽

Yingjie Xu ◽

...

Keyword(s):

Infinite Dilution ◽

Molar Conductivity ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship ◽

Relationship Study

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quantitative structure property relationship
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Quantitative Structure-Property Relationship for Predicting the Diffusion Coefficient of Ionic Liquids

Integrated machine learning-quantitative structure property relationship (ML-QSPR) and chemical kinetics for high throughput fuel screening toward internal combustion engine

Probabilistic Mean Quantitative Structure–Property Relationship Modeling of Jet Fuel Properties

Polymer informatics based on the quantitative structure-property relationship using a machine-learning framework for the physical properties of polymers in the ATHAS data bank

Development of Quantitative Structure-Property Relationship to Predict the Viscosity of Deep Eutectic Solvent for CO2 Capture using Molecular Descriptor

Quantitative structure–property relationship of Ev‐degree and Ve‐degree based topological indices with physico‐chemical properties of benzene derivatives and application

Quantitative structure–property relationship of edge weighted and degree‐based entropy of benzene derivatives

Machine learning-quantitative structure property relationship (ML-QSPR) method for fuel physicochemical properties prediction of multiple fuel types

Water Solubility Trends in Ionic Liquids: The Quantitative Structure–Property Relationship Model versus Molecular Dynamics

Prediction of Infinite Dilution Molar Conductivity for Unconventional Ions: A Quantitative Structure–Property Relationship Study

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quantitative structure property relationshipRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Quantitative Structure-Property Relationship for Predicting the Diffusion Coefficient of Ionic Liquids

Integrated machine learning-quantitative structure property relationship (ML-QSPR) and chemical kinetics for high throughput fuel screening toward internal combustion engine

Probabilistic Mean Quantitative Structure–Property Relationship Modeling of Jet Fuel Properties

Polymer informatics based on the quantitative structure-property relationship using a machine-learning framework for the physical properties of polymers in the ATHAS data bank

Development of Quantitative Structure-Property Relationship to Predict the Viscosity of Deep Eutectic Solvent for CO2 Capture using Molecular Descriptor

Quantitative structure–property relationship of Ev‐degree and Ve‐degree based topological indices with physico‐chemical properties of benzene derivatives and application

Quantitative structure–property relationship of edge weighted and degree‐based entropy of benzene derivatives

Machine learning-quantitative structure property relationship (ML-QSPR) method for fuel physicochemical properties prediction of multiple fuel types

Water Solubility Trends in Ionic Liquids: The Quantitative Structure–Property Relationship Model versus Molecular Dynamics

Prediction of Infinite Dilution Molar Conductivity for Unconventional Ions: A Quantitative Structure–Property Relationship Study

quantitative structure property relationship
Recently Published Documents