Results 11 to 20 of about 822,180 (287)

Descriptors-based machine-learning prediction of cetane number using quantitative structure–property relationship

open access: yesEnergy and AI
The physicochemical properties of liquid alternative fuels are important but difficult to measure/predict, especially when complex surrogate fuels are concerned.
Rodolfo S.M. Freitas, Xi Jiang
doaj   +3 more sources

Nonlinear quantitative structure-property relationship modeling of skin permeation coefficient. [PDF]

open access: yesJ Pharm Sci, 2009
The permeation coefficient characterizes the ability of a chemical to penetrate the dermis, and the current study describes our efforts to develop structure-based models for the permeation coefficient. Specifically, we have integrated nonlinear, quantitative structure-property relationship (QSPR) models, genetic algorithms (GAs), and neural networks to
Neely BJ   +3 more
europepmc   +4 more sources

CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA [PDF]

open access: yesChemical Industry and Chemical Engineering Quarterly, 2021
Quantitative structure-property relationship (QSPR) technique provides a suitable tool to predict the critical micelle concentration (CMC) of Gemini surfactants from their structure descriptors.
Laidi Maamar   +5 more
doaj   +1 more source

Reliable Prediction of Caco-2 Permeability by Supervised Recursive Machine Learning Approaches

open access: yesPharmaceutics, 2022
The heterogeneity of the Caco-2 cell line and differences in experimental protocols for permeability assessment using this cell-based method have resulted in the high variability of Caco-2 permeability measurements.
Gabriela Falcón-Cano   +2 more
doaj   +1 more source

Computer-Aided Discovery of New Solubility-Enhancing Drug Delivery System

open access: yesBiomolecules, 2020
The poor aqueous solubility of active pharmaceutical ingredients (APIs) places a limit on their therapeutic potential. Cyclodextrins (CDs) have been shown to improve the solubility of APIs, but the magnitude of the improvement depends on the structure of
Mikołaj Mizera   +4 more
doaj   +1 more source

Quantitative Structure–Property Relationships for Aryldiazonia [PDF]

open access: yesInternational Journal of Molecular Sciences, 2002
By the fact of finding 43 relationships, we have shown that the reduction potentials, dimerization potentials and potentials in half-equivalent point on titration of aryldiazonium cations XC6H4N+≡N (chemical reduction with K4[Fe(CN)6] and TiCl3 in water, (C2H5)3N, (í-C4H9)4N+−OH, CH3OK and C10H8•−Na+ in acetone; polarographic reduction in nitromethane,
Pankratov, Alexei N., Zhelezko, Oxana I.
openaire   +1 more source

Influence of molten-pool cooling rate on solidification structure and mechanical property of laser additive manufactured Inconel 718

open access: yesJournal of Materials Research and Technology, 2022
The relationship between solidification structure and cooling rate is critical for optimizing processing parameters to achieve desired mechanical property of additive manufactured parts.
Hui Xiao   +6 more
doaj   +1 more source

Study of quantitative structure-property relationship for density of ionic liquids based on Monte Carlo optimization [PDF]

open access: yesMATEC Web of Conferences, 2022
Ionic liquids (ILs) have attracted increasing interests and applications due to its unique physiochemical properties. Density is a vital physical property of ILs.
Jia Xingang   +3 more
doaj   +1 more source

The Eccentric-Distance Sum Polynomials of Graphs by Using Graph Products

open access: yesMathematics, 2022
The correlations between the physico-chemical properties of a chemical structure and its molecular structure-properties are used in quantitative structure-activity and property relationship studies (QSAR/QSPR) by using graph-theoretical analysis and ...
Alaa Altassan   +2 more
doaj   +1 more source

Critical Properties and Acentric Factors of Pure Compounds Modelling Based on QSPR-SVM with Dragonfly Algorithm [PDF]

open access: yesKemija u Industriji, 2021
This work aimed to model the critical pressure, temperature, volume properties, and acentric factors of 6700 pure compounds based on five relevant descriptors and two thermodynamic properties.
Mohammed Moussaoui   +4 more
doaj   +1 more source

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