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QSPR Analysis of Flash Points
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0304-3894(92)85106-bopenalex-snapshot
Improved equation to estimate flash points of organic compounds
inferredcites →https://doi.org/10.1021/ci970029vopenalex-snapshot
Normal Boiling Points for Organic Compounds: Correlation and Prediction by a Quantitative Structure−Property Relationship
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/je980144hopenalex-snapshot
Experimental Flash Points of Industrial Amines
inferredcites →https://doi.org/10.1021/jp953224qopenalex-snapshot
Correlation of Boiling Points with Molecular Structure. 1. A Training Set of 298 Diverse Organics and a Test Set of 9 Simple Inorganics
inferredcites →https://doi.org/10.1252/jcej.24.258openalex-snapshot
A method for estimating flash points of organic compounds from molecular structures.
inferredcites →https://doi.org/10.1252/jcej.24.261openalex-snapshot
A method of calculating multistage liquid-liquid extraction for ternary systems.
inferredcites →https://doi.org/10.3382/ps.0530448bopenalex-snapshot
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781119817512.ch3openalex-snapshot
Flammability Characteristics Prediction Using QSPR Modeling
inferred← citeshttps://doi.org/10.1002/aic.12786openalex-snapshot
Viscosity of ionic liquids: Database, observation, and quantitative structure‐property relationship analysis
inferred← citeshttps://doi.org/10.1002/cem.1235openalex-snapshot
QSAR studies on imidazothienopyrazines as IKK‐β inhibitors: from 2D to 3D
inferred← citeshttps://doi.org/10.1002/chin.200209266openalex-snapshot
ChemInform Abstract: QSPR Analysis of Flash Points.
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
inferred← citeshttps://doi.org/10.1002/elps.200410175openalex-snapshot
Development of migration models for acids in capillary electrophoresis using heuristic and radial basis function neural network methods
inferred← citeshttps://doi.org/10.1002/fam.1057openalex-snapshot
Prediction of pure‐component flash points for organic compounds
inferred← citeshttps://doi.org/10.1002/jcc.70157openalex-snapshot
Multi‐Task Learning in Homogeneous Catalysis: A Case Study for Predicting the Catalytic Performance in Ethylene Polymerization
inferred← citeshttps://doi.org/10.1002/jssc.200900367openalex-snapshot
Prediction of immobilized artificial membrane‐liquid chromatography retention of some drugs from their molecular structure descriptors and LFER parameters
inferred← citeshttps://doi.org/10.1002/minf.201400098openalex-snapshot
Illuminating Flash Point: Comprehensive Prediction Models
inferred← citeshttps://doi.org/10.1002/minf.201800094openalex-snapshot
A Neural Network QSPR Model for Accurate Prediction of Flash Point of Pure Hydrocarbons
inferred← citeshttps://doi.org/10.1002/minf.201800122openalex-snapshot
New QSPR Models to Predict the Flammability of Binary Liquid Mixtures
inferred← citeshttps://doi.org/10.1002/minf.202000190openalex-snapshot
Chemoinformatics for the Safety of Energetic and Reactive Materials at Ineris
inferred← citeshttps://doi.org/10.1002/prs.10004openalex-snapshot
A review of estimation methods for flash points and flammability limits
inferred← citeshttps://doi.org/10.1002/prs.10379openalex-snapshot
Predicting explosibility properties of chemicals from quantitative structure‐property relationships
inferred← citeshttps://doi.org/10.1002/prs.10401openalex-snapshot
Estimation of the flash point of pure organic chemicals from structural contributions
inferred← citeshttps://doi.org/10.1002/qsar.200530131openalex-snapshot
QSAR Study of Polychlorinated Dibenzodioxins, Dibenzofurans, and Biphenyls using the Heuristic Method and Support Vector Machine
inferred← citeshttps://doi.org/10.1002/qsar.200530187openalex-snapshot
QSAR Model for Prediction Capacity Factor of Molecular Imprinting Polymer Based on Gene Expression Programming
inferred← citeshttps://doi.org/10.1002/qsar.200630154openalex-snapshot
In SilicoPrediction of Inhibition Activity of Pyrazine–Pyridine Biheteroaryls as VEGFR‐2 Inhibitors Based on Least Squares Support Vector Machines
inferred← citeshttps://doi.org/10.1002/qsar.200710153openalex-snapshot
QSAR Models for the Dermal Penetration of Polycyclic Aromatic Hydrocarbons Based on Gene Expression Programming
inferred← citeshttps://doi.org/10.1002/qsar.200730110openalex-snapshot
Prediction of Flash Point Temperature of Pure Components Using a Quantitative Structure–Property Relationship Model
inferred← citeshttps://doi.org/10.1002/qsar.200810009openalex-snapshot
Quantitative Structure–Property Relationship Studies for Predicting Flash Points of Organic Compounds using Support Vector Machines
inferred← citeshttps://doi.org/10.1002/qsar.200860027openalex-snapshot
Study of Nematic Transition Temperatures in Themotropic Liquid Crystal Using Heuristic Method and Radial Basis Function Neural Networks and Support Vector Machine
inferred← citeshttps://doi.org/10.1007/978-3-031-28401-4_9openalex-snapshot
Quasi-SMILES-Based Mathematical Model for the Prediction of Percolation Threshold for Conductive Polymer Composites
inferred← citeshttps://doi.org/10.1007/978-3-662-47926-1_38openalex-snapshot
Development of Mathematical Model Using Group Contribution Method to Predict Exposure Limit Values in Air for Safeguarding Health
inferred← citeshttps://doi.org/10.1007/s00521-013-1404-0openalex-snapshot
Generation of artificial neural networks models in anticancer study
inferred← citeshttps://doi.org/10.1007/s00894-005-0062-2openalex-snapshot
QSPR analysis for infinite dilution activity coefficients of organic compounds
inferred← citeshttps://doi.org/10.1007/s00894-009-0634-7openalex-snapshot
QSPR modeling of thermal stability of nitroaromatic compounds: DFT vs. AM1 calculated descriptors
inferred← citeshttps://doi.org/10.1007/s00894-010-0908-0openalex-snapshot
Development of a QSPR model for predicting thermal stabilities of nitroaromatic compounds taking into account their decomposition mechanisms
inferred← citeshttps://doi.org/10.1007/s10765-010-0716-xopenalex-snapshot
Flash Point: Evaluation, Experimentation and Estimation
inferred← citeshttps://doi.org/10.1007/s10822-005-0095-8openalex-snapshot
The prediction of human oral absorption for diffusion rate-limited drugs based on heuristic method and support vector machine
inferred← citeshttps://doi.org/10.1007/s10822-005-9003-5openalex-snapshot
Prediction of the tissue/blood partition coefficients of organic compounds based on the molecular structure using least-squares support vector machines
inferred← citeshttps://doi.org/10.1007/s10973-011-1951-5openalex-snapshot
A simple accurate model for prediction of flash point temperature of pure compounds
inferred← citeshttps://doi.org/10.1007/s10973-022-11859-7openalex-snapshot
Atomic-level AI topological indices as efficient descriptors for developing predictive QSPR models for flash points of acyclic alkanes
inferred← citeshttps://doi.org/10.1007/s11172-006-0448-zopenalex-snapshot
Ad hoc optimal topological indices for QSPR
inferred← citeshttps://doi.org/10.1007/s11814-011-0164-8openalex-snapshot
Flash point prediction of organic compounds using a group contribution and support vector machine
inferred← citeshttps://doi.org/10.1007/s12209-020-00273-5openalex-snapshot
Review on the Relationship Between Liquid Aerospace Fuel Composition and Their Physicochemical Properties
inferred← citeshttps://doi.org/10.1016/b978-0-12-396975-0.00003-6openalex-snapshot
Molecular-Level Modeling and Simulation in Process Safety
inferred← citeshttps://doi.org/10.1016/b978-0-12-396975-0.00008-5openalex-snapshot
Inherently Safer Design
inferred← citeshttps://doi.org/10.1016/j.aca.2004.12.085openalex-snapshot
Prediction of retention time of a variety of volatile organic compounds based on the heuristic method and support vector machine
inferred← citeshttps://doi.org/10.1016/j.aca.2005.10.074openalex-snapshot
Prediction of retention in micellar electrokinetic chromatography based on molecular structural descriptors by using the heuristic method
inferred← citeshttps://doi.org/10.1016/j.aca.2008.01.003openalex-snapshot
Quantitative predictions of gas chromatography retention indexes with support vector machines, radial basis neural networks and multiple linear regression
inferred← citeshttps://doi.org/10.1016/j.aca.2018.05.015openalex-snapshot
Strategies to develop robust neural network models: Prediction of flash point as a case study
inferred← citeshttps://doi.org/10.1016/j.chemolab.2006.11.004openalex-snapshot
Quantitative structure–activity relationship study of acyl ureas as inhibitors of human liver glycogen phosphorylase using least squares support vector machines
inferred← citeshttps://doi.org/10.1016/j.chemolab.2007.06.011openalex-snapshot
Quantitative structure activity relationship study on EC50 of anti-HIV drugs
inferred← citeshttps://doi.org/10.1016/j.chemolab.2014.05.013openalex-snapshot
A novel group contribution-based method for estimation of flash points of ester compounds
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2005.08.031openalex-snapshot
The accurate QSPR models to predict the bioconcentration factors of nonionic organic compounds based on the heuristic method and support vector machine
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2007.04.044openalex-snapshot
QSPR prediction of n-octanol/water partition coefficient for polychlorinated biphenyls
inferred← citeshttps://doi.org/10.1016/j.chroma.2004.07.043openalex-snapshot
Study of quantitative structure–mobility relationship of carboxylic and sulphonic acids in capillary electrophoresis
inferred← citeshttps://doi.org/10.1016/j.commatsci.2005.11.003openalex-snapshot
QSPR study of permeability coefficients through low-density polyethylene based on radial basis function neural networks and the heuristic method
inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2026.109241openalex-snapshot
Data driven QSPR modeling of psychiatric drugs using degree based graph invariants
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.ejmech.2007.04.011openalex-snapshot
QSAR study of neuraminidase inhibitors based on heuristic method and radial basis function network
inferred← citeshttps://doi.org/10.1016/j.ejmech.2007.09.004openalex-snapshot
Quantitative structure–activity relationship studies of a series of non-benzodiazepine structural ligands binding to benzodiazepine receptor
inferred← citeshttps://doi.org/10.1016/j.ejmech.2009.04.039openalex-snapshot
Predicting the activity of drugs for a group of imidazopyridine anticoccidial compounds
inferred← citeshttps://doi.org/10.1016/j.enconman.2012.01.014openalex-snapshot
Estimation of flash point and autoignition temperature of organic sulfur chemicals
inferred← citeshttps://doi.org/10.1016/j.envpol.2006.08.030openalex-snapshot
Study on adsorption behavior of volatile and semivolatile organic vapors to air-dry soils based on QSPR methods
inferred← citeshttps://doi.org/10.1016/j.firesaf.2015.04.006openalex-snapshot
Combining mixing rules with QSPR models for pure chemicals to predict the flash points of binary organic liquid mixtures
inferred← citeshttps://doi.org/10.1016/j.fluid.2007.09.022openalex-snapshot
QSPR prediction of N-boiling point and critical properties of organic compounds and comparison with a group-contribution method
inferred← citeshttps://doi.org/10.1016/j.fluid.2012.05.015openalex-snapshot
Gene expression programming strategy for estimation of flash point temperature of non-electrolyte organic compounds
inferred← citeshttps://doi.org/10.1016/j.fuel.2021.121437openalex-snapshot
Machine learning-quantitative structure property relationship (ML-QSPR) method for fuel physicochemical properties prediction of multiple fuel types
inferred← citeshttps://doi.org/10.1016/j.fuel.2022.124292openalex-snapshot
Estimating flashpoints of fuels and chemical compounds using hybrid machine-learning techniques
inferred← citeshttps://doi.org/10.1016/j.fuel.2023.129508openalex-snapshot
Learning to predict sustainable aviation fuel properties: A deep uncertainty quantification viewpoint
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e23981openalex-snapshot
QSPR analysis of distance-based structural indices for drug compounds in tuberculosis treatment
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2007.01.025openalex-snapshot
Quantitative structure–property relationship studies for predicting flash points of alkanes using group bond contribution method with back-propagation neural network
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2010.03.060openalex-snapshot
QSPR prediction of flash point of esters by means of GFA and ANFIS
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2010.03.081openalex-snapshot
Inductive modeling of physico-chemical properties: Flash point of alkanes
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.2009.07.008openalex-snapshot
A prediction model for the flash point of binary liquid mixtures
inferred← citeshttps://doi.org/10.1016/j.jlp.2011.04.010openalex-snapshot
Prediction models for the flash point of pure components
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/10.1016/j.jlp.2018.01.005openalex-snapshot
Flash point of flammable binary mixtures: Synergistic behavior
inferred← citeshttps://doi.org/10.1016/j.jlp.2018.05.005openalex-snapshot
SGC based prediction of the flash point temperature of pure compounds
inferred← citeshttps://doi.org/10.1016/j.jmgm.2007.03.006openalex-snapshot
QSPR modeling of flash points: An update
inferred← citeshttps://doi.org/10.1016/j.measurement.2013.08.012openalex-snapshot
QSPR prediction of the solubility of CO2 and N2 in common polymers
inferred← citeshttps://doi.org/10.1016/j.molliq.2024.125994openalex-snapshot
Innovative molecular descriptors in QSPR modeling: Integrating Carnahan-Starling EoS for predicting diffusion coefficients in hydrocarbons and mixtures
inferred← citeshttps://doi.org/10.1016/j.psep.2016.01.018openalex-snapshot
A simple and reliable method for prediction of flash point of alcohols based on their elemental composition and structural parameters
inferred← citeshttps://doi.org/10.1016/j.psep.2016.09.022openalex-snapshot
Prediction of flash points of pure organic compounds: Evaluation of the DIPPR database
inferred← citeshttps://doi.org/10.1016/j.saa.2011.08.046openalex-snapshot
Prediction of the maximum absorption wavelength of azobenzene dyes by QSPR tools
inferred← citeshttps://doi.org/10.1016/j.talanta.2005.04.034openalex-snapshot
QSPR prediction of GC retention indices for nitrogen-containing polycyclic aromatic compounds from heuristically computed molecular descriptors
inferred← citeshttps://doi.org/10.1016/j.talanta.2006.03.058openalex-snapshot
Prediction of gas-phase reduced ion mobility constants (K0) based on the multiple linear regression and projection pursuit regression
inferred← citeshttps://doi.org/10.1016/j.talanta.2007.03.037openalex-snapshot
Prediction of surface tension for common compounds based on novel methods using heuristic method and support vector machine
inferred← citeshttps://doi.org/10.1016/j.tca.2020.178536openalex-snapshot
Measurement and prediction of thermophysical properties of binary mixtures of dicyclopentadiene with methylcyclohexane, toluene, and p-xylene
inferred← citeshttps://doi.org/10.1016/j.tca.2022.179417openalex-snapshot
Experimental and numerical investigation of evaporation and the dependence of flash points on the ignition spots at an open-cup method
inferred← citeshttps://doi.org/10.1016/j.toxlet.2007.10.005openalex-snapshot
Prediction of retention times for a large set of pesticides or toxicants based on support vector machine and the heuristic method
inferred← citeshttps://doi.org/10.1016/j.vibspec.2010.07.007openalex-snapshot
Quantitative structure–property relationship study for the prediction of characteristic infrared absorption of carbonyl group of commonly used carbonyl compounds
inferred← citeshttps://doi.org/10.1016/s1004-9541(09)60133-6openalex-snapshot
Prediction of Flash Point Temperature of Organic Compounds Using a Hybrid Method of Group Contribution + Neural Network + Particle Swarm Optimization
inferred← citeshttps://doi.org/10.1016/s1004-9541(13)60483-8openalex-snapshot
A Quantitative Structure Property Relationship for Prediction of Flash Point of Alkanes Using Molecular Connectivity Indices
inferred← citeshttps://doi.org/10.1021/acs.chas.3c00089openalex-snapshot
Mixture Flash Point Calculation: Recent Advances and a Closer Look at Biodiesel
inferred← citeshttps://doi.org/10.1021/acs.chemrev.5b00215openalex-snapshot
A General Guidebook for the Theoretical Prediction of Physicochemical Properties of Chemicals for Regulatory Purposes
inferred← citeshttps://doi.org/10.1021/acs.energyfuels.6c00500openalex-snapshot
Paving the Way to Green Aviation: A Review of Sustainable Aviation Fuel Technologies, Properties, Emissions, and Future Directions
inferred← citeshttps://doi.org/10.1021/acs.iecr.4c03223openalex-snapshot
Predicting Fuel Properties through Sequential Forward Selection (SFS) Enhance Ensemble Machine Learning with Topological Index Selection
inferred← citeshttps://doi.org/10.1021/acs.iecr.5b01457openalex-snapshot
Mixture Descriptors toward the Development of Quantitative Structure–Property Relationship Models for the Flash Points of Organic Mixtures
inferred← citeshttps://doi.org/10.1021/acs.iecr.5b02786openalex-snapshot
A Modified Group Contribution Method for Accurate Prediction of Flash Points of Pure Organic Compounds
inferred← citeshttps://doi.org/10.1021/acs.iecr.9b00843openalex-snapshot
Prediction of Flash-Point Temperature of Alcohol/Biodiesel/Diesel Fuel Blends
inferred← citeshttps://doi.org/10.1021/acs.jced.8b00660openalex-snapshot
Synergistic Extraction of Hydroquinone from Aqueous Solution with Solvent Mixture of 2-Pentanone and n-Pentanol: Liquid–Liquid Equilibria and Data Correlation
inferred← citeshttps://doi.org/10.1021/acs.jced.9b00971openalex-snapshot
Synergistic Extraction of Hydroquinone from an Aqueous Solution with a Solvent Mixture of Diisopropyl Ether and n-Pentanol at T = 298.15 K and P = 101.3 kPa: Liquid–Liquid Equilibria and Data Correlation
inferred← citeshttps://doi.org/10.1021/ci049820bopenalex-snapshot
QSAR Models for the Prediction of Binding Affinities to Human Serum Albumin Using the Heuristic Method and a Support Vector Machine
inferred← citeshttps://doi.org/10.1021/cr900238dopenalex-snapshot
Quantitative Correlation of Physical and Chemical Properties with Chemical Structure: Utility for Prediction
inferred← citeshttps://doi.org/10.1021/ef040033qopenalex-snapshot
How Chemical Structure Determines Physical, Chemical, and Technological Properties: An Overview Illustrating the Potential of Quantitative Structure−Property Relationships for Fuels Science
inferred← citeshttps://doi.org/10.1021/ef1005836openalex-snapshot
Improved Prediction of Hydrocarbon Flash Points from Boiling Point Data
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/ef700753topenalex-snapshot
A New Neural Network−Group Contribution Method for Estimation of Flash Point Temperature of Pure Components
inferred← citeshttps://doi.org/10.1021/ie101381bopenalex-snapshot
Prediction of Flash Point of Organosilicon Compounds Using Quantitative Structure Property Relationship Approach
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/ie102246vopenalex-snapshot
Empirical Method for Representing the Flash-Point Temperature of Pure Compounds
inferred← citeshttps://doi.org/10.1021/ie2004708openalex-snapshot
Quantitative Structure–Property Relationship for Flash Points of Alcohols
inferred← citeshttps://doi.org/10.1021/ie201132vopenalex-snapshot
Prediction of Flash Points of Organosilicon Compounds by Structure Group Contribution Approach
inferred← citeshttps://doi.org/10.1021/ie201241eopenalex-snapshot
Development of a Simple Method to Predict Boiling Points and Flash Points of Acyclic Alkenes
inferred← citeshttps://doi.org/10.1021/ie301079ropenalex-snapshot
Review of Existing QSAR/QSPR Models Developed for Properties Used in Hazardous Chemicals Classification System
inferred← citeshttps://doi.org/10.1021/ie301800sopenalex-snapshot
Flash Points of Organosilicon Compounds: How Data for Alkanes Combined with Custom Additive Fragments Can Expedite the Development of Predictive Models
inferred← citeshttps://doi.org/10.1021/ie501233gopenalex-snapshot
A Review of Flash Point Prediction Models for Flammable Liquid Mixtures
inferred← citeshttps://doi.org/10.1021/ie503162hopenalex-snapshot
Predicting Boiling Points and Flash Points of Monochloroalkanes from Structure
inferred← citeshttps://doi.org/10.1021/ie9000794openalex-snapshot
QSPR Flash Point Prediction of Solvents Using Topological Indices for Application in Computer Aided Molecular Design
inferred← citeshttps://doi.org/10.1021/je1003143openalex-snapshot
Research Progress on Flash Point Prediction
inferred← citeshttps://doi.org/10.1021/jp037594nopenalex-snapshot
A Quantitative Structure−Property Relationship Study of Lithium Cation Basicities
inferred← citeshttps://doi.org/10.1021/jp052223nopenalex-snapshot
Accurate Quantitative Structure−Property Relationship Model To Predict the Solubility of C 60 in Various Solvents Based on a Novel Approach Using a Least-Squares Support Vector Machine
inferred← citeshttps://doi.org/10.1021/jp800043xopenalex-snapshot
Theoretical Study of the Decomposition Reactions in Substituted Nitrobenzenes
inferred← citeshttps://doi.org/10.1023/b:rucb.0000009629.38661.4copenalex-snapshot
Fragmental descriptors in QSPR: flash point calculations
inferred← citeshttps://doi.org/10.1038/s42004-025-01592-1openalex-snapshot
Molecular property prediction in the ultra‐low data regime
inferred← citeshttps://doi.org/10.1039/d1gc00331copenalex-snapshot
A multi-task deep learning neural network for predicting flammability-related properties from molecular structures
inferred← citeshttps://doi.org/10.1039/d5cs00053jopenalex-snapshot
Accelerating battery innovation: AI-powered molecular discovery
inferred← citeshttps://doi.org/10.1080/00986440801963808openalex-snapshot
NOVEL METHOD FOR MINING QSPR-RELEVANT CONFORMATIONS
inferred← citeshttps://doi.org/10.1080/02678290701663712openalex-snapshot
Prediction of nematic transition temperatures in thermotropic liquid crystals by a heuristic method
inferred← citeshttps://doi.org/10.1080/08927020802378928openalex-snapshot
QSPR model to predict the thermal stabilities of second-order nonlinear optical (NLO) chromophore molecules
inferred← citeshttps://doi.org/10.1080/08927022.2011.600760openalex-snapshot
Quantitative structure–activity relationship study on antitumour activity of a series of flavonoids
inferred← citeshttps://doi.org/10.1080/1062936x.2013.773372openalex-snapshot
QSPR prediction of physico-chemical properties for REACH
inferred← citeshttps://doi.org/10.1080/1062936x.2016.1172666openalex-snapshot
Towards predicting the solubility of CO2and N2in different polymers using a quasi-SMILES based QSPR approach
inferred← citeshttps://doi.org/10.1080/10659360500204368openalex-snapshot
QSAR study of natural, synthetic and environmental endocrine disrupting compounds for binding to the androgen receptor
inferred← citeshttps://doi.org/10.1080/10916461003735038openalex-snapshot
Studies on Volatile Characteristics of Middle Distillates and Their Interdependency
inferred← citeshttps://doi.org/10.1080/22297928.2013.770682openalex-snapshot
Quantitative Structure-Property Relationship Study for Prediction of Flash Point of Some Organic Compounds Based On SW-MLR Method
inferred← citeshttps://doi.org/10.1109/icnc.2011.6022125openalex-snapshot
QSPR Study on the prediction of ionization potential of various organic compounds by heuristic method and radial basis function neural network
inferred← citeshttps://doi.org/10.1111/cbdd.13822openalex-snapshot
Novel quantitative structure–activity relationship model to predict activities of natural products against COVID‐19
inferred← citeshttps://doi.org/10.1111/j.1747-0285.2009.00840.xopenalex-snapshot
In Silico Log P Prediction for a Large Data Set with Support Vector Machines, Radial Basis Neural Networks and Multiple Linear Regression
inferred← citeshttps://doi.org/10.1134/s0965544106020125openalex-snapshot
Estimation of flash points and molecular masses of alkanes from their IR spectra
inferred← citeshttps://doi.org/10.1134/s0965544124040066openalex-snapshot
Prediction of Flash Points of Petroleum Middle Distillates Using an Artificial Neural Network Model
inferred← citeshttps://doi.org/10.1155/2014/482341openalex-snapshot
Predicting Flash Point of Organosilicon Compounds Using Quantitative Structure Activity Relationship Approach
inferred← citeshttps://doi.org/10.1205/psep.05041openalex-snapshot
Prediction of Minimum Flash Point Behaviour for Binary Mixtures
inferred← citeshttps://doi.org/10.1557/proc-700-s7.5openalex-snapshot
Quantitative Structure-Activity Relationships (QSARs) for Materials Science
inferred← citeshttps://doi.org/10.17516/1998-2836-2016-9-1-68-77openalex-snapshot
Predictionof the Dialkylamine’s Flash Points
inferred← citeshttps://doi.org/10.2174/0115734064287922240222115200openalex-snapshot
Predicting the Efficacy of Novel Synthetic Compounds in the Treatment of Osteosarcoma via Anti-Receptor Activator of Nuclear Factor-κB Ligand (RANKL)/Receptor Activator of Nuclear Factor-κB (RANK) Targets
inferred← citeshttps://doi.org/10.2174/0115734064364749250102024805openalex-snapshot
High-prediction QSAR Modeling Study Based on the Efficacy of a Novel 6-hydroxybenzothiazole-2-carboxamide Targeted Monoamine Oxidase B in the Treatment of Neurodegenerative Diseases
inferred← citeshttps://doi.org/10.2174/1568026023392922openalex-snapshot
The Present Utility and Future Potential for Medicinal Chemistry of QSAR / QSPR with Whole Molecule Descriptors
inferred← citeshttps://doi.org/10.2174/1570180818666211022142920openalex-snapshot
QSAR Model Study of 2,3,4,5-tetrahydro-1H-pyrido[4,3-b]indole of Cystic- brosis-transmembrane Conductance-regulator Gene Potentiators
inferred← citeshttps://doi.org/10.2174/157340913804998838openalex-snapshot
QSAR Modeling for the Antimalarial Activity of 1,4-Naphthoquinonyl Derivatives as Potential Antimalarial Agents
inferred← citeshttps://doi.org/10.22211/cejem/64965openalex-snapshot
Prediction of the Density of Energetic Materials on the Basis of their Molecular Structures
inferred← citeshttps://doi.org/10.2478/s11532-012-0131-1openalex-snapshot
Measurement and prediction of binary mixture flash point
inferred← citeshttps://doi.org/10.30492/ijcce.2019.35001openalex-snapshot
A Neural Networks Model for Accurate Prediction of the Flash Point of Chemical Compounds
inferred← citeshttps://doi.org/10.3303/cet1331155openalex-snapshot
Prediction of Physico-Chemical Properties for REACH Based on QSPR Models
inferred← citeshttps://doi.org/10.3390/liquids4030036openalex-snapshot
Effect of Intramolecular Hydrogen Bond Formation on the Abraham Model Solute Descriptors for Oxybenzone
inferred← citeshttps://doi.org/10.3390/molecules23061379openalex-snapshot
Comparison between Multi-Linear- and Radial-Basis-Function-Neural-Network-Based QSPR Models for The Prediction of The Critical Temperature, Critical Pressure and Acentric Factor of Organic Compounds
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amr.798-799.1091openalex-snapshot
An Accurate Model for Predicting Retention Time of Coffee Flavor in Cigarette
inferred← citeshttps://doi.org/10.4172/2161-0401.1000125openalex-snapshot
Theoretical Descriptor for the Correlation of the Fish Embryo Toxicity test (FET) By QSAR Model of LC50
inferred← citeshttps://doi.org/10.4236/pp.2011.24035openalex-snapshot
Modeling of the Interaction of Flavanoids with GABA (A) Receptor Using PRECLAV (Property-Evaluation by Class Variables)
inferred← citeshttps://doi.org/10.47749/t/unicamp.2009.437186openalex-snapshot
Aplicação de planejamento de experimentos em diferentes etapas do refino de petroleo
inferred← citeshttps://doi.org/10.70675/d3b07912z0482z4058z92f7zd62473fc9289openalex-snapshot
Procédure d'estimation rapide des propriétés d'inflammabilité des liquides
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