| 1 |
Experimental and numerical assessment of a methodology for performance prediction of Pumps-as-Turbines (PaTs) operating in off-design conditions
Rossi M, Nigro A, Renzi M
Applied Energy, 248, 555, 2019 |
| 2 |
Structure-based design of agarase AgWH50C from Agarivorans gilvus WH0801 to enhance thermostability
Zhang PJ, Zhang JR, Zhang LJ, Sun JN, Li Y, Wu L, Zhou JH, Xue CH, Mao XZ
Applied Microbiology and Biotechnology, 103(3), 1289, 2019 |
| 3 |
A model for predicting bubble velocity in yield stress fluid at low Reynolds number
Wang ZY, Lou WQ, Sun BJ, Pan SW, Zhao XX, Liu H
Chemical Engineering Science, 201, 325, 2019 |
| 4 |
Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer
Cen ZP, Wang J
Energy, 169, 160, 2019 |
| 5 |
Predicting the performance of a micro gas turbine under solar-hybrid operation
Ssebabi B, Dinter F, van der Spuy J, Schatz M
Energy, 177, 121, 2019 |
| 6 |
On the prediction of solubility of alkane in carbon dioxide using a novel ANFIS-GA method
Sedaghat M, Esfandiarian A
Energy Sources Part A-recovery Utilization and Environmental Effects, 41(23), 2861, 2019 |
| 7 |
Advances in modelling of binary droplet collision outcomes in Sprays: A review of available knowledge
Sommerfeld M, Pasternak L
International Journal of Multiphase Flow, 117, 182, 2019 |
| 8 |
Debromination of polybrominated biphenyls (PBBs) by zero valent metals and iron-based bimetallic particles: Mechanisms, pathways and predicting descriptor
Wang R, Tang T, Huang KB, Zou MY, Tao XQ, Yin H, Lin Z, Dang Z, Lu GN
Chemical Engineering Journal, 351, 773, 2018 |
| 9 |
A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting
Ding YS
Energy, 154, 328, 2018 |
| 10 |
Application of LSSVM algorithm for estimating higher heating value of biomass based on ultimate analysis
Duan M, Liu ZL, Yan DJ, Peng WX, Baghban A
Energy Sources Part A-recovery Utilization and Environmental Effects, 40(6), 709, 2018 |
