On‐Line Monitoring Device for Gas Phase Composition Based on Machine Learning Models and Its Application in the Gas Phase Copolymerization of Olefins

Application of machine learning methods on dynamic strength analysis for additive manufactured polypropylene-based composites

(2022) Ruijun Cai et al.   POLYMER TESTING

Development of physical property prediction models for polypropylene composites with optimizing random forest hyperparameters

(2021) Chonghyo Joo et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Experimental investigation on mechanisms of fine particles generation for the Borealis Borstar multistage olefin polymerization process

(2018) Binbo Jiang et al.   JOURNAL OF APPLIED POLYMER SCIENCE

Real-Time Detection of Atmosphere Composition in Three-Component Gas-Phase Copolymerization of Olefins

(2018) Zheng Zheng et al.   Macromolecular Reaction Engineering

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Heterophasic copolymers of polypropylene: Development, design principles, and future challenges

(2013) Markus Gahleitner et al.   JOURNAL OF APPLIED POLYMER SCIENCE

A Laboratory Reactor for Gas-Phase Olefin Polymerization

(2010) Tariq M. Mannan et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

Steady-state and dynamic modeling of commercial bulk polypropylene process of Hypol technology

(2009) Zheng-Hong Luo et al.   CHEMICAL ENGINEERING JOURNAL