Wenbo Zhu

发表

Framework design for weight-average molecular weight control in semi-batch polymerization

S. D. Salas, Terry R. McAfee, J. Romagnoli, 2018, Control Engineering Practice.

A machine learning approach to optimize shale gas supply chain networks

Jose A. Romagnoli, Hope Asala, Jorge Chebeir, 2017 .

Large enhancement of discharge energy density of polymer nanocomposites filled with one-dimension core-shell structured NaNbO3@SiO2 nanowires

Xiucai Wang, Wenbo Zhu, Xinmei Yu, 2020 .

Improved quantification of curvature in high-resolution transmission electron microscopy lattice fringe micrographs of soots

E. Lester, Chang’an Wang, R. L. Wal, 2017 .

Experimental and computational investigations of ethane and ethylene kinetics with copper oxide particles for Chemical Looping Combustion

A. V. van Duin, Y. Ju, Hao Zhao, 2021 .

Data mining and clustering in chemical process databases for monitoring and knowledge discovery

Jose A. Romagnoli, Michael C. Thomas, Wenbo Zhu, 2017, Journal of Process Control.

Development of a Reactive Force Field for Simulations on the Catalytic Conversion of C/H/O Molecules on Cu-Metal and Cu-Oxide Surfaces and Application to Cu/CuO-Based Chemical Looping

A. V. van Duin, Minhua Zhang, You Han, 2020 .

Evolutionary Convolutional Neural Networks Using ABC

Jianwen Chen, Wenbo Zhu, Dafeng Chen, 2019, ICMLC '19.

A Deep Learning Approach on Industrial Pyrolysis Reactor Monitoring

Wenbo Zhu, Yibin Zhan, Jose A. Romagnoli, 2019 .

Adaptive k-Nearest-Neighbor Method for Process Monitoring

Jose A. Romagnoli, Wei Sun, Wenbo Zhu, 2018 .

Atomistic-Scale Simulations on Graphene Bending Near a Copper Surface

A. V. van Duin, M. Terrones, Wenbo Zhu, 2021, Catalysts.

A Method for Recognizing Fatigue Driving Based on Dempster-Shafer Theory and Fuzzy Neural Network

Bingyou Liu, Huicheng Yang, Yi Jin, 2017 .

High dielectric response of (Pb0.89Ba0.08La0.02)(Zr0.50Sn0.40Ti0.10)O3 multi-layer antiferroelectric ceramics

Xiucai Wang, Wenbo Zhu, Yewen Jiang, 2020, Journal of Materials Science: Materials in Electronics.

Operation optimization of a cryogenic NGL recovery unit using deep learning based surrogate modeling

Jose A. Romagnoli, Wenbo Zhu, Jorge Chebeir, 2020, Comput. Chem. Eng..

Investigation of transfer learning for image classification and impact on training sample size

Wenbo Zhu, Jose A. Romagnoli, Leo H. Chiang, 2021 .

Deep Learning Based Soft Sensor and Its Application on a Pyrolysis Reactor for Compositions Predictions of Gas Phase Components

Jose A. Romagnoli, Wenbo Zhu, Yan Ma, 2018 .

A Deep Learning Approach for Process Data Visualization Using t-Distributed Stochastic Neighbor Embedding

Jose A. Romagnoli, Wenbo Zhu, Zachary T Webb, 2019, Industrial & Engineering Chemistry Research.

Continuous control of a polymerization system with deep reinforcement learning

Jose A. Romagnoli, Yan Ma, Michael G. Benton, 2019, Journal of Process Control.

Control of A Polyol Process Using Reinforcement Learning

Leo H. Chiang, Ricardo R. Rendall, J. Romagnoli, 2021, IFAC-PapersOnLine.

Generic Process Visualization Using Parametric t-SNE

Wei Sun, Jose A. Romagnoli, Wenbo Zhu, 2018 .