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Improved Prediction of Hydrocarbon Flash Points from Boiling Point Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1099-1018(199711/12)21:6<277::aid-fam617>3.0.co;2-3openalex-snapshot
Correlation of closed-cup flash points with normal boiling points for silicone and general organic compounds
inferredcites →https://doi.org/10.1002/9781118903117openalex-snapshot
Industrial Fire Protection Engineering
inferredcites →https://doi.org/10.1002/fam.810120404openalex-snapshot
Correlation of flashpoint with molecular connectivity
inferredcites →https://doi.org/10.1002/fam.810150208openalex-snapshot
Note: Correlation of flash points
inferredcites →https://doi.org/10.1002/fam.810160307openalex-snapshot
Communication: On the correlation of flash points
inferredcites →https://doi.org/10.1002/qsar.200730110openalex-snapshot
Prediction of Flash Point Temperature of Pure Components Using a Quantitative Structure–Property Relationship Model
inferredcites →https://doi.org/10.1016/0022-4375(82)90032-9openalex-snapshot
Correlation between flash points and vapor pressures of organic compounds
inferredcites →https://doi.org/10.1016/0304-3894(92)85106-bopenalex-snapshot
Improved equation to estimate flash points of organic compounds
inferredcites →https://doi.org/10.1016/j.combustflame.2003.09.020openalex-snapshot
Hydrocarbon Process Safety
inferredcites →https://doi.org/10.1016/j.jmgm.2007.03.006openalex-snapshot
QSPR modeling of flash points: An update
inferredcites →https://doi.org/10.1016/s0009-2509(03)00251-3openalex-snapshot
Flammability characteristics of pure hydrocarbons
inferredcites →https://doi.org/10.1021/ci980026yopenalex-snapshot
Quantitative Structure−Property Relationships for the Estimation of Boiling Point and Flash Point Using a Radial Basis Function Neural Network
inferredcites →https://doi.org/10.1021/ed050pa85.1openalex-snapshot
Estimation of flash point temperature
inferredcites →https://doi.org/10.1021/ef700753topenalex-snapshot
A New Neural Network−Group Contribution Method for Estimation of Flash Point Temperature of Pure Components
inferredcites →https://doi.org/10.1021/ef900883uopenalex-snapshot
Calculating Flash Point Numbers from Molecular Structure: An Improved Method for Predicting the Flash Points of Acyclic Alkanes
inferredcites →https://doi.org/10.1021/ie0604425openalex-snapshot
Kinney Revisited: An Improved Group Contribution Method for the Prediction of Boiling Points of Acyclic Alkanes
inferredcites →https://doi.org/10.1021/ie50165a046openalex-snapshot
Calculation of Flash Points for Pure Organic Substances
inferredcites →https://doi.org/10.1021/ie50556a041openalex-snapshot
Prediction of Flash Points of Middle Distillates
inferredcites →https://doi.org/10.1063/1.1835321openalex-snapshot
A Unique Equation to Estimate Flash Points of Selected Pure Liquids Application to the Correction of Probably Erroneous Flash Point Values
inferredcites →https://doi.org/10.1252/jcej.24.258openalex-snapshot
A method for estimating flash points of organic compounds from molecular structures.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cjce.70373openalex-snapshot
Influence of C 8 – C 10 hydrocarbons on the flash point behaviour of synthetic kerosene for jet fuel blending
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Pushing the boundaries for fuel discovery with a multiview features fusion approach
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A Neural Network QSPR Model for Accurate Prediction of Flash Point of Pure Hydrocarbons
inferred← citeshttps://doi.org/10.1002/minf.201900101openalex-snapshot
Assessing Graph‐based Deep Learning Models for Predicting Flash Point
inferred← citeshttps://doi.org/10.1016/j.chemolab.2023.104877openalex-snapshot
New structure-based models for the prediction of flash point and autoignition temperatures of alkyl esters
inferred← citeshttps://doi.org/10.1016/j.compchemeng.2021.107524openalex-snapshot
Fast, easy-to-use, machine learning-developed models of prediction of flash point, heat of combustion, and lower and upper flammability limits for inherently safer design
inferred← citeshttps://doi.org/10.1016/j.egyai.2024.100423openalex-snapshot
Insight of low flammability limit on sustainable aviation fuel blend and prediction by ANN model
inferred← citeshttps://doi.org/10.1016/j.fuel.2020.119389openalex-snapshot
Impact of low flash point compounds (hydrocarbons containing eight carbon atoms) on the flash point of jet fuel and n-dodecane
inferred← citeshttps://doi.org/10.1016/j.fuel.2021.122712openalex-snapshot
Molecular graph-based deep learning method for predicting multiple physical properties of alternative fuel components
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2011.07.044openalex-snapshot
Simple method for reliable predicting flash points of unsaturated hydrocarbons
inferred← citeshttps://doi.org/10.1016/j.jlp.2011.06.025openalex-snapshot
Nonlinear molecular based modeling of the flash point for application in inherently safer design
inferred← citeshttps://doi.org/10.1021/acs.energyfuels.6b02669openalex-snapshot
Flash Points of Hydrocarbons and Petroleum Products: Prediction and Evaluation of Methods
inferred← citeshttps://doi.org/10.1021/acs.jced.0c00020openalex-snapshot
Binary Mixtures of Aromatic Compounds (n-Propylbenzene, 1,3,5-Trimethylbenzene, and 1,2,4-Trimethylbenzene) with 2,2,4,6,6-Pentamethylheptane: Densities, Viscosities, Speeds of Sound, Bulk Moduli, Surface Tensions, and Flash Points at 0.1 MPa
inferred← citeshttps://doi.org/10.1021/acs.jced.0c00280openalex-snapshot
Physical Properties of Binary Mixtures of n-Dodecane and Various Ten-Carbon Aromatic Compounds (2-Methyl-1-phenylpropane, 2-Methyl-2-phenylpropane, 2-Phenylbutane, and 1,3-Diethylbenzene): Densities, Viscosities, Speeds of Sound, Bulk Moduli, Surface Tensions, and Flash Points at T =…
inferred← citeshttps://doi.org/10.1021/acs.jced.0c00581openalex-snapshot
Properties of Binary Mixtures of 2,2,4,6,6-Pentamethylheptane (iso-Dodecane) with iso-Butylbenzene, sec-Butylbenzene, tert-Butylbenzene, or 1,3-Diethylbenzene: Densities, Viscosities, Speeds of Sound, and Isentropic Bulk Moduli in the Temperature Range of 288.15–333.15 K, Surface Tensions at 295…
inferred← citeshttps://doi.org/10.1021/acs.jced.5b00790openalex-snapshot
Density and Viscosity from 293.15 to 373.15 K, Speed of Sound and Bulk Modulus from 293.15 to 343.15 K, Surface Tension, and Flash Point of Binary Mixtures of Bicyclohexyl and 1,2,3,4-Tetrahydronaphthalene or Trans-decahydronaphthalene at 0.1 MPa
inferred← citeshttps://doi.org/10.1021/acs.jced.6b00516openalex-snapshot
Density, Viscosity, Speed of Sound, Bulk Modulus, Surface Tension, and Flash Point of Binary Mixtures of Butylcyclohexane with Toluene or n-Hexadecane
inferred← citeshttps://doi.org/10.1021/acs.jced.6b00542openalex-snapshot
Density, Viscosity, Speed of Sound, Bulk Modulus, Surface Tension, and Flash Point of Binary Mixtures of Butylbenzene + Linear Alkanes (n-Decane, n-Dodecane, n-Tetradecane, n-Hexadecane, or n-Heptadecane) at 0.1 MPa
inferred← citeshttps://doi.org/10.1021/acs.jced.6b01036openalex-snapshot
Optimized Mie Potentials for Phase Equilibria: Application to Branched Alkanes
inferred← citeshttps://doi.org/10.1021/acs.jced.7b00087openalex-snapshot
Densities and Viscosities at 293.15–373.15 K, Speeds of Sound and Bulk Moduli at 293.15–333.15 K, Surface Tensions, and Flash Points of Binary Mixtures of n -Hexadecane and Alkylbenzenes at 0.1 MPa
inferred← citeshttps://doi.org/10.1021/acs.jced.7b00466openalex-snapshot
Density, Viscosity, Speed of Sound, Bulk Modulus, Surface Tension, and Flash Point of Selected Ternary Mixtures of n- Butylcyclohexane + a Linear Alkane ( n- Hexadcane or n- Dodecane) + an Aromatic Compound (Toluene, n- Butylbenzene, or n- Hexylbenzene)
inferred← citeshttps://doi.org/10.1021/acs.jced.8b00008openalex-snapshot
Densities, Viscosities, Speeds of Sound, Bulk Moduli, Surface Tensions, and Flash Points of Binary Mixtures of Ethylcyclohexane or Methylcyclohexane with n- Dodecane or n- Hexadecane at 0.1 MPa
inferred← citeshttps://doi.org/10.1021/acs.jced.8b00387openalex-snapshot
Density, Viscosity, Speed of Sound, Bulk Modulus, Surface Tension, and Flash Point of Binary Mixtures of n-Hexylbenzene (1) or n-Butylbenzene (1) in 2,2,4,6,6-Pentamethylheptane (2) or 2,2,4,4,6,8,8-Heptamethylnonane (2) at 0.1 MPa
inferred← citeshttps://doi.org/10.1021/acs.jced.8b01233openalex-snapshot
Densities, Viscosities, Speeds of Sound, Bulk Moduli, Surface Tensions, and Flash Points of Quaternary Mixtures of n -Dodecane (1), n -Butylcyclohexane (2), n- Butylbenzene (3), and 2,2,4,4,6,8,8-Heptamethylnonane (4) at 0.1 MPa as Potential Surrogate Mixtures for Military Jet Fuel, JP-5
inferred← citeshttps://doi.org/10.1021/acs.jcim.1c00803openalex-snapshot
Comparisons of Molecular Structure Generation Methods Based on Fragment Assemblies and Genetic Graphs
inferred← citeshttps://doi.org/10.1021/ef200795jopenalex-snapshot
Flash Point and Cetane Number Predictions for Fuel Compounds Using Quantitative Structure Property Relationship (QSPR) Methods
inferred← citeshttps://doi.org/10.1021/ef201121bopenalex-snapshot
Group Contribution Method To Predict Boiling Points and Flash Points of Alkylbenzenes
inferred← citeshttps://doi.org/10.1021/ie1021283openalex-snapshot
Simple Method to Evaluate and to Predict Flash Points of Organic Compounds
inferred← citeshttps://doi.org/10.1021/ie2004708openalex-snapshot
Quantitative Structure–Property Relationship for Flash Points of Alcohols
inferred← citeshttps://doi.org/10.1021/ie201241eopenalex-snapshot
Development of a Simple Method to Predict Boiling Points and Flash Points of Acyclic Alkenes
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Density, Viscosity, Speed of Sound, Surface Tension, and Flash Point of Binary Mixtures of n-Hexadecane and 2,2,4,4,6,8,8-Heptamethylnonane and of Algal-Based Hydrotreated Renewable Diesel
inferred← citeshttps://doi.org/10.1021/je500498mopenalex-snapshot
Density, Viscosity, Speed of Sound, Bulk Modulus, Surface Tension, and Flash Point of Binary Mixtures of n -Hexadecane + Ethylbenzene or + Toluene at (293.15 to 373.15) K and 0.1 MPa
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Design Green Chemicals by Predicting Vaporization Properties Using Explainable Graph Attention Networks
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Reference and Pure Component Fuel Characterization in an Ignition Quality Tester Derived Cetane Rating Unit
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