| 1 |
Application of Three-Dimensional Solubility Parameter in Diffusion Behavior of Rubber-Solvent System and Its Predictive Power in Calculating the Key Parameters
Jiang X, Hao Y, Wang H, Tu J, Liu G
Macromolecular Research, 30(4), 271, 2022 |
| 2 |
Prediction of particle circulation rate in an internally circulating fluidized bed with a central draft tube
Chen HW, Song YF, Shi Y, Yang X
Powder Technology, 380, 497, 2021 |
| 3 |
Clustering of visible and infrared solar irradiance for solar architecture design and analysis
Duan QH, Feng YX, Wang JL
Renewable Energy, 165, 668, 2021 |
| 4 |
증류공정 내부 온도 예측을 위한 머신 러닝 모델 개발
권혁원, 오광철, 정용철, 조형태, 김정환
Applied Chemistry for Engineering, 31(5), 520, 2020 |
| 5 |
Gaussian process regression with heteroscedastic noises - A machine-learning predictive variance approach
Li ZX, Hong XD, Hao KR, Chen L, Huang B
Chemical Engineering Research & Design, 157, 162, 2020 |
| 6 |
Robust Predictive Torque Control of Permanent Magnet Synchronous Machine Using Discrete Hybrid Prediction Model
Yan LM, Wang FX, Tao P, Zuo KK
IEEE Transactions on Energy Conversion, 35(4), 2240, 2020 |
| 7 |
Experimental and modeling study of CO2 separation by modified Pebax 1657 TFC membranes
Jomekian A, Bazooyar B, Behbahani RM
Korean Journal of Chemical Engineering, 37(11), 2020, 2020 |
| 8 |
A probability prediction model of erosion rate for Ti-6Al-4V on high-speed sand erosion
Yan C, Chen W, Zhao ZH, Liu LL
Powder Technology, 364, 373, 2020 |
| 9 |
Analysis of BLEVE overpressure using spherical shock theory
Birk AM, Eyssette R, Heymes F
Process Safety and Environmental Protection, 134, 108, 2020 |
| 10 |
Very short-term wind power density forecasting through artificial neural networks for microgrid control
Rodriguez F, Florez-Tapia AM, Fontan L, Galarza A
Renewable Energy, 145, 1517, 2020 |
