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Improved Quantitative Structure Property Relationships for the Prediction of Dielectric Constants for a Set of Diverse Compounds by Subsetting of the Data Set
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Molecular Connectivity in Structure–activity Analysis
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Comprehensive Medicinal Chemistry
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Backpropagation neural networks
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Molecular Connectivity in Chemistry and Drug Research
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Neural networks: A new method for solving chemical problems or just a passing phase?
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Selection of optimum training sets for use in pattern recognition analysis of chemical data
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The development of a quantitative structure property relationship (QSPR) for the prediction of dielectric constants using neural networks
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Introduction to multi-layer feed-forward neural networks
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Prediction of Reduced Ion Mobility Constants from Structural Information Using Multiple Linear Regression Analysis and Computational Neural Networks
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Development and use of charged partial surface area structural descriptors in computer-assisted quantitative structure-property relationship studies
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Quantitative approach to biochemical structure-activity relationships
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Prediction of boiling points of organic heterocyclic compounds using regression and neural network techniques
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Prediction of boiling points and critical temperatures of industrially important organic compounds from molecular structure
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Novel models for illustrating chirality at two centers
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A general quantitative structure–property relationship treatment for dielectric constants of polymers
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Elucidation of specific aspects of dielectric constants of conjugated organic compounds: a QSPR approach
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Experimental and theoretical assignment of the vibrational spectra of triazoles and benzotriazoles. Identification of IR marker bands and electric response properties
inferred← citeshttps://doi.org/10.1016/j.eurpolymj.2006.12.029openalex-snapshot
Prediction of dielectric constants and glass transition temperatures of polymers by quantitative structure property relationships
inferred← citeshttps://doi.org/10.1016/j.fluid.2004.12.017openalex-snapshot
Pure component properties from group contribution: Hydrogen-bond basicity, hydrogen-bond acidity, Hildebrand solubility parameter, macroscopic surface tension, dipole moment, refractive index and dielectric constant
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Machine learning-driven exploration of static dielectric constants in PPO oligomers: Decoding quantitative structure-property relationships and underlying physical mechanisms
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Quantitative Correlation of Physical and Chemical Properties with Chemical Structure: Utility for Prediction
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Predicting dielectric constants of pure liquids: fragment-based Kirkwood–Fröhlich model applicable over a wide range of polarity
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Dipole, dipole–quadrupole, and dipole–octopole polarizability of adamantane, C10H16, from refractive index measurements, depolarized collision-induced light scattering, conventional ab initio and density functional theory calculations
inferred← citeshttps://doi.org/10.1063/5.0223926openalex-snapshot
Development and construction of a cost-effective non-contact instrument for measuring the dielectric constant of liquids
inferred← citeshttps://doi.org/10.1080/00319100601089679openalex-snapshot
Prediction dielectric constant of different ternary liquid mixtures at various temperatures and compositions using artificial neural networks
inferred← citeshttps://doi.org/10.1080/1062936x.2014.899267openalex-snapshot
QSPR modelling of dielectric constants of π-conjugated organic compounds by means of the CORAL software
inferred← citeshttps://doi.org/10.1080/1062936x.2015.1120779openalex-snapshot
A comprehensive QSPR model for dielectric constants of binary solvent mixtures
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Electric Multipole Moments and (Hyper)Polarizability of X–C≡C–X, X = F, Cl, Br and I
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Finite Temperature String with Order Parameter as Collective Variables for Molecular Crystal: A Case of Polymorphic Transformation of TNT under External Electric Field
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Estimation de propriétés d'intérêt pour les électrolytes liquides
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