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695 results on '"Chen, Weibin"'

7. Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit

Author

Chen, Weibin, Sharifrazi, Danial, Liang, Guoxi, Band, Shahab S., Chau, Kwok Wing, and Mosavi, Amir

Subjects
Computer Science - Machine Learning, 68T05
Abstract

Streamlined weirs which are a nature-inspired type of weir have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high discharge coefficients. Computational fluid dynamics (CFD) is considered as a robust tool to predict the discharge coefficient. To bypass the computational cost of CFD-based assessment, the present study proposes data-driven modeling techniques, as an alternative to CFD simulation, to predict the discharge coefficient based on an experimental dataset. To this end, after splitting the dataset using a k fold cross validation technique, the performance assessment of classical and hybrid machine learning deep learning (ML DL) algorithms is undertaken. Among ML techniques linear regression (LR) random forest (RF) support vector machine (SVM) k-nearest neighbor (KNN) and decision tree (DT) algorithms are studied. In the context of DL, long short-term memory (LSTM) convolutional neural network (CNN) and gated recurrent unit (GRU) and their hybrid forms such as LSTM GRU, CNN LSTM and CNN GRU techniques, are compared using different error metrics. It is found that the proposed three layer hierarchical DL algorithm consisting of a convolutional layer coupled with two subsequent GRU levels, which is also hybridized with the LR method, leads to lower error metrics. This paper paves the way for data-driven modeling of streamlined weirs., Comment: 28 pages, 7 figures

Published
2022
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24. MADDPG: Multi-agent Deep Deterministic Policy Gradient Algorithm for Formation Elliptical Encirclement and Collision Avoidance

Author

Xu, Leixin, Chen, Weibin, Liu, Xiang, Chen, Yang-Yang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Ren, Zhang, editor, Wang, Mengyi, editor, and Hua, Yongzhao, editor

Published
2023
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41. Compound specific isotope analysis in hydrogeology

Author

Phillips, Elizabeth, Bergquist, Bridget A., Chartrand, Michelle M.G., Chen, Weibin, Edwards, Elizabeth A., Elsner, Martin, Gilevska, Tetyana, Hirschorn, Sarah, Horst, Axel, Lacrampe-Couloume, Georges, Mancini, Silvia A., McKelvie, Jennifer, Morrill, Penny L., Ojeda, Ann Sullivan, Slater, Gregory F., Sleep, Brent E., De Vera, Joan, Warr, Oliver, and Passeport, Elodie

Published
2022
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49. Fe−O4 Motif Activated Graphitic Carbon via Oxo‐Bridge for Highly Selective H2O2 Electrosynthesis.

Author

Zhang, Zitao, Chen, Weibin, Chu, Hsing Kai, Xiong, Feng, Zhang, Kexin, Yan, Huacai, Meng, Fanqi, Gao, Song, Ma, Bing, Hai, Xiao, and Zou, Ruqiang

Subjects
*CARBON-based materials, *HETEROGENEOUS catalysis, *ACTIVATED carbon, *INHOMOGENEOUS materials, *HYDROGEN peroxide, *ELECTROSYNTHESIS
Abstract

Carbon‐based materials have been utilized as effective catalysts for hydrogen peroxide electrosynthesis via two‐electron oxygen reduction reaction (2e ORR), however the insufficient selectivity and productivity still hindered the further industrial applications. In this work, we report the Fe−O4 motif activated graphitic carbon material which enabled highly selective H2O2 electrosynthesis operating at high current density with excellent anti‐poisoning property. In the bulk production test, the concentration of H2O2 cumulated to 8.6 % in 24 h and the corresponding production rate of 33.5 mol gcat−1 h−1 outperformed all previously reported materials. Theoretical model backed by in situ characterization verified α‐C surrounding the Fe−O4 motif as the actual reaction site in terms of thermodynamics and kinetics aspects. The strategy of activating carbon reaction site by metal center via oxo‐bridge provides inspiring insights for the rational design of carbon materials for heterogeneous catalysis. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Minimize the Electrode Concentration Polarization for High‐Power Lithium Batteries.

Author

Chen, Weibin, Wang, Kai, Li, Yonglong, Chen, Jing, Wang, Hongbin, Li, Liewu, Li, Hao, Ren, Xiangzhong, Ouyang, Xiaoping, Liu, Jianhong, Pan, Feng, Xiao, Biwei, Zhang, Qianling, and Hu, Jiangtao

Subjects
*ENERGY density, *POWER density, *ELECTRODES, *INDUSTRIAL applications, *ELECTROLYTES
Abstract

High‐loading electrode is a prerequisite for achieving high energy density in industrial applications of lithium‐ion batteries. However, an increased loading leads to elevated battery polarization and reduced battery power density, which presents a significant technical bottleneck in the industry. The present study focuses on designing a rapid electrolyte diffusion pathway to diminish lithium concentration polarization for the high‐loading LiNi0.83Mn0.12Co0.05O2 (NMC83) electrode by employing two layers of NMC83 materials with different sizes. This innovative architecture demonstrates exceptional rate performance even under challenging conditions with high‐loading and high‐rate. Additionally, the interrelationships between electrode structure, process route, porosity, and optimal thickness ratio between layers are discussed, providing valuable guidance for industrial promotion and application. The designed L‐Dry‐S electrode structure (coating large particles first and then small particles) effectively mitigates concentration polarization in the thick electrode, which is attributed to the fast electrolyte diffusion channel and the differential reaction speeds of NMC83 particles with varying sizes. The knowledge from this work is broadly applicable to other material systems. [ABSTRACT FROM AUTHOR]

Published
2024
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