Kewei Cheng

Exploring the potential relationship between indoor air quality and the concentration of airborne culturable fungi: a combined experimental and neural network modeling study

Hao Li, Guoqing Cao, Zhijian Liu, 2018, Environmental Science and Pollution Research.

Design of high-performance water-in-glass evacuated tube solar water heaters by a high-throughput screening based on machine learning: A combined modeling and experimental study

Zhijian Liu, Hancheng Yu, Kewei Cheng, 2017 .

Artificial Neural Networks-Based Software for Measuring Heat Collection Rate and Heat Loss Coefficient of Water-in-Glass Evacuated Tube Solar Water Heaters

Zhijian Liu, Guangya Jin, Kewei Cheng, 2015, PloS one.

Comparative Study on Theoretical and Machine Learning Methods for Acquiring Compressed Liquid Densities of 1,1,1,2,3,3,3-Heptafluoropropane (R227ea) via Song and Mason Equation, Support Vector Machine, and Artificial Neural Networks

Hao Li, Kewei Cheng, Zhijian Liu, 2016 .

Computational design of (100) alloy surfaces for the hydrogen evolution reaction

Zhengyang Gao, Weijie Yang, Kewei Cheng, 2020 .

Advances in preparation methods and mechanism analysis of layered double hydroxide for lithium-ion batteries and lithium-sulfur batteries

B. Cheng, Wei-min Kang, Nanping Deng, 2021, Journal of Energy Chemistry.

Mg-based inorganic nanofibers constructing fast and multi-dimensional ion conductive pathways for all-solid-state lithium metal batteries

B. Cheng, Wei-min Kang, Nanping Deng, 2021, Journal of Energy Chemistry.

Extreme learning machine: a new alternative for measuring heat collection rate and heat loss coefficient of water-in-glass evacuated tube solar water heaters

Hao Li, Zhijian Liu, Xinyu Zhang, 2016, SpringerPlus.