| 1 |
Quantitative Structure-Property Relationship (QSPR) models for Minimum Ignition Energy (MIE) prediction of combustible dusts using machine learning
Chaudhari P, Ade N, Perez LM, Kolis S, Mashuga CV
Powder Technology, 372, 227, 2020 |
| 2 |
New structure-based models for the prediction of flash point of multi-component organic mixtures
Torabian E, Sobati MA
Thermochimica Acta, 672, 162, 2019 |
| 3 |
Solubility modelling for phytochemicals of Misai Kucing in different solvents
Theo WL, Mustaffa AA, Lim JS
Fluid Phase Equilibria, 427, 246, 2016 |
| 4 |
Robust design of optimal solvents for chemical reactions-A combined experimental and computational strategy
Zhou T, Lyu ZX, Qi ZW, Sundmacher K
Chemical Engineering Science, 137, 613, 2015 |
| 5 |
Quantitative structure-property relationship study of liquid vapor pressures for polychlorinated diphenyl ethers
Yuan Y, Sun YY, Wang DX, Liu RN, Gu SJ, Liang GJ, Xu J
Fluid Phase Equilibria, 391, 31, 2015 |
| 6 |
Prediction of the self-accelerating decomposition temperature of organic peroxides using the quantitative structure property relationship (QSPR) approach
Pan Y, Zhang YY, Jiang JC, Ding L
Journal of Loss Prevention in The Process Industries, 31, 41, 2014 |
| 7 |
Molecular modeling of the standard state heat of formation
Bagheri M, Yerramsetty K, Khaled AMGB, Neely BJ
Energy Conversion and Management, 65, 587, 2013 |
| 8 |
Predicting the electric spark sensitivity of nitramines from molecular structures via support vector machine
Wang R, Sun L, Kang QS, Li ZM
Journal of Loss Prevention in The Process Industries, 26(6), 1193, 2013 |
| 9 |
Simple yet accurate prediction method for sublimation enthalpies of organic contaminants using their molecular structure
Bagheri M, Bagheri M, Gandomi AH, Golbraikh A
Thermochimica Acta, 543, 96, 2012 |
| 10 |
Prediction of absolute entropy of ideal gas at 298 K of pure chemicals through GAMLR and FFNN
Fazeli A, Bagheri M, Ghaniyari-Benis S, Aslebagh R, Kamaloo E
Energy Conversion and Management, 52(1), 630, 2011 |
