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Total 36 articles [ 키워드: Prediction ] |
No. |
Article |
11 |
Korean Journal of Chemical Engineering, 37 (11), pp.2020-2040 (2020) Experimental and modeling study of CO2 separation by modified Pebax 1657 TFC membranes Jomekian A, Bazooyar B, Behbahani RM |
12 |
Korean Journal of Chemical Engineering, 37 (10), pp.1660-1668 (2020) Effects of cellulose, hemicellulose and lignin on biomass pyrolysis kinetics Zhu L, Zhong Z |
13 |
Korean Journal of Chemical Engineering, 37 (3), pp.402-410 (2020) Free-volume theory coupled with modified group-contribution PC-SAFT for predicting viscosities of 1-alkenes NguyenHuynh D, Luu MT, Mai CTQ, et al. |
14 |
Korean Journal of Chemical Engineering, 37 (1), pp.1-10 (2020) Effect of surfactant on wetting due to fouling in membrane distillation membrane: Application of response surface methodology (RSM) and artificial neural networks (ANN) Kim BM, Choi YJ, Choi JH, et al. |
15 |
Korean Journal of Chemical Engineering, 36 (12), pp.2047-2059 (2019) A modified non-equilibrium lattice fluid model based on corrected fractional free volume of polymers for gas solubility prediction Jomekian A, Bazooyar B, Poormohammadian SJ, et al. |
16 |
Korean Journal of Chemical Engineering, 35 (7), pp.1556-1569 (2018) Toward an intelligent approach for predicting surface tension of binary mixtures containing ionic liquids Soleimani R, Dehaghani AHS, Shoushtari NA, et al. |
17 |
Korean Journal of Chemical Engineering, 33 (11), pp.3194-3202 (2016) Modeling of gas permeation through mixed matrix membranes using a comprehensive computational method Pakizeh M, Ofoghi S, Shooshtari SHR |
18 |
Korean Journal of Chemical Engineering, 33 (7), pp.2042-2049 (2016) Prediction of biodiesel properties and its characterization using fatty acid profiles Samavi M, Ghobadian B, Ardjmand M, et al. |
19 |
Korean Journal of Chemical Engineering, 33 (5), pp.1698-1705 (2016) Calculation of solubility of N-ethylcarbazole in ethanol+petroleum ether mixtures at various temperatures Jouyban A, Acree WE |
20 |
Korean Journal of Chemical Engineering, 32 (6), pp.1029-1036 (2015) A real-time model based on least squares support vector machines and output bias update for the prediction of NOx emission from coal-fired power plant Ahmed F, Cho HJ, Kim JK, et al. |
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