| 1 |
Physics-informed deep learning for data-driven solutionsof computational fluid dynamics
Choi S, Jung I, Kim H, Na J, Lee JM
Korean Journal of Chemical Engineering, 39(3), 515, 2022 |
| 2 |
LightGBM Technique and Differential Evolution Algorithm-Based Multi-Objective Optimization Design of DS-APMM
Pan ZB, Fang SH, Wang H
IEEE Transactions on Energy Conversion, 36(1), 441, 2021 |
| 3 |
Development of a skeletal mechanism for four-component biodiesel surrogate fuel with PAH
Bai YQ, Wang Y, Wang XC
Renewable Energy, 171, 266, 2021 |
| 4 |
Uncertainty modeling in reliability analysis of floating wind turbine support structures
Okpokparoro S, Sriramula S
Renewable Energy, 165, 88, 2021 |
| 5 |
Dynamic Surrogate Model Based Optimization for MPPT of Centralized Thermoelectric Generation Systems Under Heterogeneous Temperature Difference
Zhang XS, Yang B, Yu T, Jiang L
IEEE Transactions on Energy Conversion, 35(2), 966, 2020 |
| 6 |
Robust Design Optimization of Surface-Mounted Permanent Magnet Synchronous Motor Using Uncertainty Characterization by Bootstrap Method
Kim S, Lee SG, Kim JM, Lee TH, Lim MS
IEEE Transactions on Energy Conversion, 35(4), 2056, 2020 |
| 7 |
Analysis and optimization of high temperature proton exchange membrane (HT-PEM) fuel cell based on surrogate model
Lan HB, Yang LL, Zheng FJ, Zong CY, Wu S, Song XG
International Journal of Hydrogen Energy, 45(22), 12501, 2020 |
| 8 |
Development of a standard calibration procedure for the DEM parameters of cohesionless bulk materials - Part II: Efficient optimization-based calibration
Richter C, Rossler T, Kunze G, Katterfeld A, Will F
Powder Technology, 360, 967, 2020 |
| 9 |
Multi-objective optimization of guide vanes for axial flow cyclone using CFD, SVM, and NSGA II algorithm
Deng YJ, Yu B, Sun DL
Powder Technology, 373, 637, 2020 |
| 10 |
Multi-distribution ensemble probabilistic wind power forecasting
Sun MC, Feng C, Zhang J
Renewable Energy, 148, 135, 2020 |
