| 1 |
Effect of grinding media properties and stirrer tip speed on the grinding efficiency of a stirred mill
Guo W, Gao P, Tang ZD, Han YX, Meng XZ
Powder Technology, 382, 556, 2021 |
| 2 |
Scale-up procedure of parameter estimation in selection and breakage functions for impact pin milling
Li ZP, Wang LG, Chen WZ, Chen XZ, Liu CQ, Yang DS
Advanced Powder Technology, 31(8), 3507, 2020 |
| 3 |
Lumped analysis criteria for heat transfer in a diluted co - current moving bed heat exchanger with isothermal walls
Bertoli SL, de Almeida J, de Souza CK, Lovatel A, Padoin N, Soares C
Powder Technology, 361, 1038, 2020 |
| 4 |
Sequential grid approach based support vector regression for short-term electric load forecasting
Yang YL, Che JX, Deng CZ, Li L
Applied Energy, 238, 1010, 2019 |
| 5 |
Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems
Zhou QG, Wang C, Zhang GF
Applied Energy, 250, 1559, 2019 |
| 6 |
Transitional phase modeling and monitoring with respect to the effect of its neighboring phases
Gao ZP, Jia MX, Mao ZZ, Zhao LP
Chemical Engineering Research & Design, 145, 288, 2019 |
| 7 |
Machine Learning Supporting Experimental Design for Product Development in the Lab
Babutzka J, Bortz M, Dinges A, Foltin G, Hajnal D, Schultze H, Weiss H
Chemie Ingenieur Technik, 91(3), 277, 2019 |
| 8 |
Accounting for uncertainty in RCCE species selection
Cisneros-Garibay E, Pantano C, Freund JB
Combustion and Flame, 208, 219, 2019 |
| 9 |
SS-DAC: A systematic framework for selecting the best modeling approach and pre-processing for spectroscopic data
Rato TJ, Reis MS
Computers & Chemical Engineering, 128, 437, 2019 |
| 10 |
Automated learning of chemical reaction networks
Wilson ZT, Sahinidis NV
Computers & Chemical Engineering, 127, 88, 2019 |
