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QSPR Study for Estimation of Density of Some Aromatic Explosives by Multiple Linear Regression Approach
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9783527613106openalex-snapshot
Handbook of Molecular Descriptors
inferredcites →https://doi.org/10.1002/prep.19940190402openalex-snapshot
Estimation and prediction of the heats of formation for non‐aromatic polynitro compounds on the basis of the QSPR approach
inferredcites →https://doi.org/10.1016/0022-2860(93)80221-gopenalex-snapshot
Computational Chemical Graph Theory
inferredcites →https://doi.org/10.1016/j.theochem.2003.08.107openalex-snapshot
QSPR models of boiling point, octanol–water partition coefficient and retention time index of polycyclic aromatic hydrocarbons
inferredcites →https://doi.org/10.1021/ci000001aopenalex-snapshot
Quantitative Structure−Activity Relationship of Flavonoid Analogues. 3. Inhibition of p56lck Protein Tyrosine Kinase
inferredcites →https://doi.org/10.1021/ci0000528openalex-snapshot
QSRR Correlation of Free-Radical Polymerization Chain-Transfer Constants for Styrene
inferredcites →https://doi.org/10.1021/ci700096ropenalex-snapshot
Development of Reliable Aqueous Solubility Models and Their Application in Druglike Analysis
inferredcites →https://doi.org/10.1021/ci960081bopenalex-snapshot
A QSPR Study of the Solubility of Gases and Vapors in Water
inferredcites →https://doi.org/10.1021/ci9903206openalex-snapshot
Structurally Diverse Quantitative Structure−Property Relationship Correlations of Technologically Relevant Physical Properties
inferredcites →https://doi.org/10.1021/ie0614428openalex-snapshot
Comparison of Two Methods for Estimation of Melting Points of Organic Compounds
inferredcites →https://doi.org/10.1021/ie960446hopenalex-snapshot
Modeling of Polymer Molecular Weight Distributions in Free-Radical Polymerization Reactions. Application to the Case of Polystyrene
inferredcites →https://doi.org/10.1039/cs9952400279openalex-snapshot
QSPR: the correlation and quantitative prediction of chemical and physical properties from structure
inferredcites →https://doi.org/10.1080/07370650500374326openalex-snapshot
Predicting the Impact Sensitivities of Polynitro Compounds Using Quantum Chemical Descriptors
inferredcites →https://doi.org/10.1080/07370650590936433openalex-snapshot
Theoretical Investigation of the Relationship between Impact Sensitivity and the Charges of the Nitro Group in Nitro Compounds
inferredcites →https://doi.org/10.1177/026119290503300508openalex-snapshot
QSAR Applicability Domain Estimation by Projection of the Training Set in Descriptor Space: A Review
inferredcites →https://doi.org/10.1289/txg.7125openalex-snapshot
Assessment of Prediction Confidence and Domain Extrapolation of Two Structure–Activity Relationship Models for Predicting Estrogen Receptor Binding Activity
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00894-026-06996-xopenalex-snapshot
Machine learning prediction of thermal sensitivity for energetic materials based on multi-source feature fusion
inferred← citeshttps://doi.org/10.1007/s11224-024-02279-4openalex-snapshot
The prediction of crystal densities of a big data set using 1D and 2D structure features
inferred← citeshttps://doi.org/10.1016/j.ceja.2025.100804openalex-snapshot
Machine-learning-driven QSPR models for energetic molecules: A review on safety and energetic properties prediction
inferred← citeshttps://doi.org/10.1016/j.ecoenv.2019.109374openalex-snapshot
Prediction of polydimethylsiloxane-water partition coefficients based on the pp-LFER and QSAR models
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2020.123012openalex-snapshot
Versatile in silico modeling of partition coefficients of organic compounds in polydimethylsiloxane using linear and nonlinear methods
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2021.127131openalex-snapshot
Surface functional groups determine adsorption of pharmaceuticals and personal care products on polypropylene microplastics
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.138881openalex-snapshot
Versatile modelling of polyoxymethylene-water partition coefficients for hydrophobic organic contaminants using linear and nonlinear approaches
inferred← citeshttps://doi.org/10.1039/d4ra05875eopenalex-snapshot
Application of machine learning in developing a quantitative structure–property relationship model for predicting the thermal decomposition temperature of nitrogen-rich energetic ionic salts
inferred← citeshttps://doi.org/10.2139/ssrn.6498666openalex-snapshot
Interpretable multiattribute collaborative prediction method incorporating domain knowledge and multihead attention mechanism for energetic materials
inferred← citeshttps://doi.org/10.58694/20.500.12479/1297openalex-snapshot
High energy density materials based on fluorinated bridged trinitromethyl azo triazole derivatives: a quantum chemical study of thermodynamic and energetic properties
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