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Solubility of Flouranthene, Chrysene, and Triphenylene in Supercritical Carbon Dioxide

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0378-3812(93)85018-hopenalex-snapshot
Representation and prediction of thermophysical properties of heavy hydrocarbons
inferredcites →https://doi.org/10.1016/0378-3812(94)80009-xopenalex-snapshot
An “Excess function-Equation of state” model for solubility of hydrocarbon solids in supercritical carbon dioxide
inferredcites →https://doi.org/10.1016/0378-3812(95)02703-hopenalex-snapshot
High-pressure fluid-phase equilibria: Experimental methods and systems investigated (1988–1993)
inferredcites →https://doi.org/10.1016/0378-3812(95)02799-8openalex-snapshot
A group-contribution equation of state for predicting vapor-liquid equilibria and volumetric properties of carbon dioxide-hydrocarbons systems
inferredcites →https://doi.org/10.1021/i100007a001openalex-snapshot
Solubilities of hydrocarbon solids in supercritical fluids. The augmented van der Waals treatment
inferredcites →https://doi.org/10.1021/je00023a016openalex-snapshot
Solubility of solids in supercritical carbon dioxide and ethylene
inferredcites →https://doi.org/10.1021/je00023a017openalex-snapshot
Critical mixing of decyl alcohol with dipolar liquids
inferredcites →https://doi.org/10.1021/je60087a015openalex-snapshot
Vapor-liquid equilibriums for the system n-heptane-o-xylene at 348.1, 358.1, and 368.3 K
inferredcites →https://doi.org/10.1021/je60087a018openalex-snapshot
Solid solubilities of naphthalene and biphenyl in supercritical carbon dioxide
inferredcites →https://doi.org/10.1063/1.555893openalex-snapshot
Solubilities of Solids and Liquids of Low Volatility in Supercritical Carbon Dioxide

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4795901openalex-extracted
A Comparative Analysis of Density-Based and Neural Network Modeling for Predicting the Solubility of Various Solids in Supercritical Carbon Dioxide
inferred← citeshttps://doi.org/10.1002/poc.408openalex-snapshot
Linear free energy relationship analysis of the solubility of solids in supercritical CO 2
inferred← citeshttps://doi.org/10.1007/s10311-020-01176-6openalex-snapshot
Sustainable solvents in chemical synthesis: a review
inferred← citeshttps://doi.org/10.1016/0378-3812(95)02703-hopenalex-snapshot
High-pressure fluid-phase equilibria: Experimental methods and systems investigated (1988–1993)
inferred← citeshttps://doi.org/10.1016/b978-0-12-817388-6.00016-7openalex-snapshot
Solubility of organic compounds in scCO2
inferred← citeshttps://doi.org/10.1016/j.ces.2011.10.055openalex-snapshot
Applications of cubic equations of state for determination of the solubilities of industrial solid compounds in supercritical carbon dioxide: A comparative study
inferred← citeshttps://doi.org/10.1016/j.colsurfa.2008.05.002openalex-snapshot
Solubilization of mixed polycyclic aromatic hydrocarbon systems using an anionic surfactant
inferred← citeshttps://doi.org/10.1016/j.crci.2018.02.006openalex-snapshot
Semi-empirical correlation of solid solute solubility in supercritical carbon dioxide: Comparative study and proposition of a novel density-based model
inferred← citeshttps://doi.org/10.1016/j.ejpb.2025.114720openalex-snapshot
Predicting the solubility of drugs in supercritical carbon dioxide using machine learning and atomic contribution
inferred← citeshttps://doi.org/10.1016/j.fluid.2004.06.009openalex-snapshot
Influence of co-solvent on dye solubility in supercritical carbon dioxide
inferred← citeshttps://doi.org/10.1016/j.fluid.2012.09.020openalex-snapshot
Correlating and predicting the solubilities of polycyclic aromatic hydrocarbons in supercritical fluids using the compressed gas model and the reference solubilities
inferred← citeshttps://doi.org/10.1016/j.fluid.2012.12.029openalex-snapshot
Density estimation of pure carbon dioxide at supercritical region and estimation solubility of solid compounds in supercritical carbon dioxide: Correlation approach based on sensitivity analysis
inferred← citeshttps://doi.org/10.1016/j.fluid.2013.09.009openalex-snapshot
Prediction of solid polycyclic aromatic hydrocarbons solubility in water, with the NRTL-PR model
inferred← citeshttps://doi.org/10.1016/j.fluid.2016.10.012openalex-snapshot
Simplified calculation of solubility of solid solutes in supercritical carbon dioxide by EoS models
inferred← citeshttps://doi.org/10.1016/j.fluid.2020.112755openalex-snapshot
First-principles prediction of solid solute solubility in supercritical carbon dioxide using PR+COSMOSAC EOS
inferred← citeshttps://doi.org/10.1016/j.fluid.2021.113297openalex-snapshot
AI-PCSAFT approach: New high predictive method for estimating PC-SAFT pure component properties and phase equilibria parameters
inferred← citeshttps://doi.org/10.1016/j.molliq.2023.123884openalex-snapshot
Modeling solid solute solubility in supercritical carbon dioxide by machine learning algorithms using molecular sigma profiles
inferred← citeshttps://doi.org/10.1016/j.supflu.2004.02.003openalex-snapshot
Prediction of solubility for polycyclic aromatic hydrocarbons in supercritical carbon dioxide using wavelet neural networks in quantitative structure property relationship
inferred← citeshttps://doi.org/10.1016/j.supflu.2010.10.019openalex-snapshot
Thermodynamic modeling of solubilities of various solid compounds in supercritical carbon dioxide: Effects of equations of state and mixing rules
inferred← citeshttps://doi.org/10.1016/j.supflu.2014.03.005openalex-snapshot
A study on the predictive capability of the SAFT-VR equation of state for solubility of solids in supercritical CO2
inferred← citeshttps://doi.org/10.1016/j.supflu.2014.06.022openalex-snapshot
Modeling solubility in supercritical carbon dioxide using quantitative structure–property relationships
inferred← citeshttps://doi.org/10.1016/j.supflu.2016.06.006openalex-snapshot
Prediction of solubility of solid compounds in supercritical CO2 using a connectionist smart technique
inferred← citeshttps://doi.org/10.1016/j.supflu.2019.104735openalex-snapshot
Prediction of solid solute solubility in supercritical carbon dioxide with and without organic cosolvents from PSRK EOS
inferred← citeshttps://doi.org/10.1016/j.supflu.2021.105446openalex-snapshot
Prediction of solid solute solubility in supercritical carbon dioxide from PSRK EOS with only input of molecular structure
inferred← citeshttps://doi.org/10.1016/j.supflu.2022.105765openalex-snapshot
Prediction of solid solubility in supercritical carbon dioxide using a pairwise surface contact equation of state — COSMO-SAC-Phi
inferred← citeshttps://doi.org/10.1016/j.supflu.2024.106345openalex-snapshot
A comparative analysis of density-based and neural network modeling for predicting the solubility of organic compounds in supercritical carbon dioxide
inferred← citeshttps://doi.org/10.1016/s0378-3812(00)00404-0openalex-snapshot
Measurement and correlation of dye solubility in supercritical carbon dioxide
inferred← citeshttps://doi.org/10.1016/s0378-3812(00)00483-0openalex-snapshot
Calculation of the solid solubilities in supercritical carbon dioxide using a modified mixing model
inferred← citeshttps://doi.org/10.1016/s0378-3812(01)00409-5openalex-snapshot
Measurement and correlation of dye solubility in supercritical carbon dioxide
inferred← citeshttps://doi.org/10.1016/s0378-3812(02)00096-1openalex-snapshot
High-pressure fluid phase equilibria
inferred← citeshttps://doi.org/10.1016/s0378-3812(03)00350-9openalex-snapshot
Calculations of solid solubility in supercritical fluids using a simplified cluster solvation model
inferred← citeshttps://doi.org/10.1016/s0896-8446(02)00015-3openalex-snapshot
Mathematical representation of solute solubility in supercritical carbon dioxide using empirical expressions
inferred← citeshttps://doi.org/10.1016/s0896-8446(02)00142-0openalex-snapshot
Prediction of solid–gas equilibria with the Peng–Robinson equation of state
inferred← citeshttps://doi.org/10.1016/s0896-8446(03)00046-9openalex-snapshot
A semicontinuous flow apparatus for measuring the solubility of opaque solids in supercritical solutions
inferred← citeshttps://doi.org/10.1021/es304262popenalex-snapshot
Partitioning Behavior of Organic Contaminants in Carbon Storage Environments: A Critical Review
inferred← citeshttps://doi.org/10.1021/ie101545gopenalex-snapshot
Artificial Neural Network Modeling of Solubilities of 21 Commonly Used Industrial Solid Compounds in Supercritical Carbon Dioxide
inferred← citeshttps://doi.org/10.1021/je990129sopenalex-snapshot
Solubility of Polycyclic Aromatic Hydrocarbons in Supercritical Carbon Dioxide
inferred← citeshttps://doi.org/10.1039/c5ee01094bopenalex-snapshot
The feasibility of in situ geological sequestration of supercritical carbon dioxide coupled to underground coal gasification
inferred← citeshttps://doi.org/10.1080/10406638.2015.1129976openalex-snapshot
Application of KNN and Semi-Empirical Models for Prediction of Polycyclic Aromatic Hydrocarbons Solubility in Supercritical Carbon Dioxide
inferred← citeshttps://doi.org/10.1081/ese-100000474openalex-snapshot
SOLUBILITY OF POLYNUCLEAR AROMATIC HYDROCARBONS IN SUPERCRITICAL CARBON DIOXIDE
inferred← citeshttps://doi.org/10.1134/s1990793124701690openalex-snapshot
Capabilities of Machine Learning Methods in Prediction of Solubility of Substances in Supercritical Carbon Dioxide
inferred← citeshttps://doi.org/10.15255/kui.2020.004openalex-snapshot
Artificial Neural Network and Support Vector Regression Applied in Quantitative Structure-property Relationship Modelling of Solubility of Solid Solutes in Supercritical CO2
inferred← citeshttps://doi.org/10.15488/7347openalex-snapshot
Modeling of enzyme catalyzed racemic reactions and modification of enantioselectivity
inferred← citeshttps://doi.org/10.17485/ijst/2016/v9i16/52344openalex-snapshot
Modified Redlich-Kwong and Peng-Robinson Equations of State for Solubility Calculation of Solid Compounds in Supercritical Carbon dioxide
inferred← citeshttps://doi.org/10.3311/ppch.7714openalex-snapshot
A New Simple Equation of State for Calculating Solubility of Solids in Supercritical Carbon Dioxide
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