| Prediction of flash points of pure organic compounds: Evaluation of the DIPPR database A Alibakhshi, H Mirshahvalad, S Alibakhshi Process Safety and Environmental Protection 105, 127-133, 2017 | 23 | 2017 |
| A modified group contribution method for accurate prediction of flash points of pure organic compounds A Alibakhshi, H Mirshahvalad, S Alibakhshi Industrial & Engineering Chemistry Research 54 (44), 11230-11235, 2015 | 21 | 2015 |
| A neural network QSPR model for accurate prediction of flash point of pure hydrocarbons H Mirshahvalad, R Ghasemiasl, N Raoufi, M Malekzadeh Dirin Molecular Informatics 38 (4), 1800094, 2019 | 18 | 2019 |
| Using simpler algorithm for cavity flow problem S Hosseinzadeh, R Ostadhossein, HR Mirshahvalad, J Seraj Mechatronics and Applications: An International Journal (MECHATROJ) 1 (1), 2017 | 15 | 2017 |
| Investigating the mechanism of effect of carbon nanotubes on flame spread over liquid fuels A Alibakhshi, H Mirshahvalad, S Alibakhshi Fire Technology 51, 759-770, 2015 | 10 | 2015 |
| A neural networks model for accurate prediction of the flash point of chemical compounds HR Mirshahvalad, R Ghasemiasl, N Raufi, M Malekzadeh Dirin Iranian Journal of Chemistry and Chemical Engineering (IJCCE) 39 (4), 297-304, 2020 | 5 | 2020 |
| Malekzadeh dirin M H Mirshahvalad, R Ghasemiasl, N Raoufi A neural network QSPR model for accurate prediction of flash point of pure …, 2019 | 5 | 2019 |
| Modeling and predicting of the flash point of chemical compounds H Mirshahvalad, R Ghasemiasl, N Raoufi, M Malekzadehdirin Journal of Modeling in Engineering 19 (64), 109-116, 2021 | | 2021 |
Amin AlibakhshiTheoretical Chemistry, Ruhr-University-BochumVerified email at rub.de
