11. Experimental study on the spray characteristics of octanol diesel and prediction of spray tip penetration by ANN model. (15th January 2022) Authors: Tian, Junjian; Liu, Yu; Bi, Haobo; Li, Fengyu; Bao, Lin; Han, Kai; Zhou, Wenliang; Ni, Zhanshi; Lin, Qizhao Journal: Energy Issue: Volume 239:Part A(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
12. Investigation of co-combustion of sewage sludge and coffee industry residue by TG-FTIR and machine learning methods. (1st February 2022) Authors: Ni, Zhanshi; Bi, Haobo; Jiang, Chunlong; Sun, Hao; Zhou, Wenliang; Tian, Junjian; Lin, Qizhao Journal: Fuel Issue: Volume 309(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
13. Investigation of sewage sludge and peanut shells co‐combustion using thermogravimetric analysis and artificial neural network. (14th October 2020) Authors: Bi, Haobo; Wang, Chengxin; Jiang, Xuedan; Jiang, Chunlong; Bao, Lin; Lin, Qizhao Journal: International journal of energy research Issue: Volume 45:Number 3(2021) Page Start: 3852 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
14. Investigation of the co-pyrolysis of coal slime and coffee industry residue based on machine learning methods and TG-FTIR: Synergistic effect, kinetics and thermodynamic. (1st December 2021) Authors: Ni, Zhanshi; Bi, Haobo; Jiang, Chunlong; Wang, Chengxin; Tian, Junjian; Zhou, Wenliang; Sun, Hao; Lin, Qizhao Journal: Fuel Issue: Volume 305(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
15. Research on the co-pyrolysis of coal slime and cellulose based on TG-FTIR-MS, artificial neural network, and principal component analysis. (15th July 2022) Authors: Ni, Zhanshi; Bi, Haobo; Jiang, Chunlong; Sun, Hao; Zhou, Wenliang; Qiu, Zhicong; Lin, Qizhao Journal: Fuel Issue: Volume 320(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
16. Research on the co-pyrolysis of coal slime and lignin based on the combination of TG-FTIR, artificial neural network, and principal component analysis. (15th December 2022) Authors: Ni, Zhanshi; Bi, Haobo; Jiang, Chunlong; Sun, Hao; Zhou, Wenliang; Qiu, Zhicong; He, Liqun; Lin, Qizhao Journal: Energy Issue: Volume 261:Part B(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
17. Study on combustion characteristics of nano-aluminum in different gas atmospheres and environment temperatures. (15th July 2023) Authors: Jiang, Chunlong; Bi, Haobo; Ni, Zhanshi; Sun, Hao; Shi, Hao; Lin, Qizhao Journal: Fuel Issue: Volume 344(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
18. The effect of cellulose on the combustion characteristics of coal slime: TG-FTIR, principal component analysis, and 2D-COS. (1st February 2023) Authors: Ni, Zhanshi; Song, Zhihui; Bi, Haobo; Jiang, Chunlong; Sun, Hao; Qiu, Zhicong; He, Liqun; Lin, Qizhao Journal: Fuel Issue: Volume 333(2023)Part 2 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
19. Thermodynamics, kinetics, gas emissions and artificial neural network modeling of co-pyrolysis of sewage sludge and peanut shell. (15th January 2021) Authors: Bi, Haobo; Wang, Chengxin; Jiang, Xuedan; Jiang, Chunlong; Bao, Lin; Lin, Qizhao Journal: Fuel Issue: Volume 284(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗