| 1 |
Investigation of discharge characteristics of rod-shaped particles in a hopper: Experimental and numerical studies using polygonal/polyhedral DEM
Kwon J, Ryu DW
Advanced Powder Technology, 31(10), 4207, 2020 |
| 2 |
Data-Driven Online Health Estimation of Li-Ion Batteries Using A Novel Energy-Based Health Indicator
Liu W, Xu Y
IEEE Transactions on Energy Conversion, 35(3), 1715, 2020 |
| 3 |
Three-dimensional layered electrochemical-thermal model for a lithium-ion pouch cell
Mei WX, Liang C, Sun JH, Wang QS
International Journal of Energy Research, 44(11), 8919, 2020 |
| 4 |
Discharge of granular materials in a hemispherical bottom silo under vertical vibration
Du JP, Liu CP, Wang CC, Wu P, Ding YL, Wang L
Powder Technology, 372, 128, 2020 |
| 5 |
Design of organic supercapacitors with high performances using pore size controlled active materials
Yang I, Kwon D, Yoo J, Kim MS, Jung JC
Current Applied Physics, 19(2), 89, 2019 |
| 6 |
Electrochemical performance of single Li4Ti5O12 particle for lithium ion battery anode
Tojo T, Kawashiri S, Tsuda T, Kadowaki M, Inada R, Sakurai Y
Journal of Electroanalytical Chemistry, 836, 24, 2019 |
| 7 |
Understanding the varying discharge rates of lognormal particle size distributions from a hopper using the Discrete Element Method
Zhao Y, Yang SL, Zhang LQ, Chew JW
Powder Technology, 342, 356, 2019 |
| 8 |
Design optimization of an aerated hopper for discharge of cohesive pulverized coal
Lu HF, Cao JK, Guo XL, Gong X, Fu L
Powder Technology, 357, 186, 2019 |
| 9 |
Influence of external pressure on granular flow in a cylindrical silo based on discrete element method
Ji SY, Wang SQ, Peng Z
Powder Technology, 356, 702, 2019 |
| 10 |
Prediction of hopper discharge rate using combined discrete element method and artificial neural network
Kumar R, Patel CM, Jana AK, Gopireddy SR
Advanced Powder Technology, 29(11), 2822, 2018 |
