[1] |
SHI Tianxi, SHI Yonghui, WU Xinying, ZHANG Yihao, QIN Zhe, ZHAO Chunxia, LU Da.
Effects of Fe2+ on the performance of Anammox EGSB reactor
[J]. Chemical Industry and Engineering Progress, 2023, 42(9): 5003-5010.
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[2] |
WANG Shuo, ZHANG Yaxin, ZHU Botao.
Prediction of erosion life of coal water slurry pipeline based on grey prediction model
[J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3431-3442.
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[3] |
CHEN Sen, YIN Pengyuan, YANG Zhenglu, MO Yiming, CUI Xili, SUO Xian, XING Huabin.
Advances in the intelligent synthesis of functional solid materials
[J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3340-3348.
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[4] |
ZHAO Jingbin, WANG Yanfu, WANG Tao, MA Weikai, WANG Chen.
Vulnerability assessment of storage tanks based on Monte Carlo simulation and dynamic event tree
[J]. Chemical Industry and Engineering Progress, 2023, 42(5): 2751-2759.
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[5] |
ZHANG Jianwei, XU Rui, ZHANG Zhongchuang, DONG Xin, FENG Ying.
Mixing characteristics of concentration field in impingement flow reactor based on convolutional neural network
[J]. Chemical Industry and Engineering Progress, 2023, 42(2): 658-668.
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[6] |
LI Wei, RUAN Chenglong, WANG Xiaoming, LI Yajie, LIANG Chenglong.
Integrated modelling method for tank-batch finished gasoline blending formulations
[J]. Chemical Industry and Engineering Progress, 2022, 41(9): 4701-4712.
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[7] |
FENG Ying, ZHAO Mengjie, CUI Qian, XIE Yuju, ZHANG Jianwei, DONG Xin.
Research progress of molecular simulation technology in the development and application of chitosan functional materials
[J]. Chemical Industry and Engineering Progress, 2022, 41(8): 4241-4253.
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[8] |
YANG Lei, SONG Jinling, TANG Chuyang, YU Shiyao, YANG Xinyu.
Products prediction of carbon-based solid waste pyrolysis based on FUSION model
[J]. Chemical Industry and Engineering Progress, 2022, 41(7): 3966-3973.
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[9] |
YU Han, WANG Hong, ZHU Xun, DING Yudong, CHEN Rong, LIAO Qiang.
Prediction model of electrospray deposition radius
[J]. Chemical Industry and Engineering Progress, 2022, 41(6): 2864-2870.
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[10] |
JIANG Ning, ZHANG Yuanyi, FAN Wei, ZHAO Shichao, XU Xinjie, XU Yingjie.
Cleaning decision of heat exchanger network based on intelligent prediction and mechanism
[J]. Chemical Industry and Engineering Progress, 2022, 41(4): 1781-1792.
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[11] |
LI Xintong, CHEN Zhibing, WEI Zhiqiang, LI Sutong, CHEN Xu, SONG Kai.
Convolution neural network with attention mechanism of input data for quality prediction of fluorine chemical products
[J]. Chemical Industry and Engineering Progress, 2022, 41(2): 593-600.
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[12] |
LI Shuai, LIU Mingyan, MA Yongli.
Prediction of scaling location of fluid in geothermal well based on BP artificial neural network
[J]. Chemical Industry and Engineering Progress, 2022, 41(11): 5761-5770.
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[13] |
KONG Xiangxu, ZHANG Wei, HU Heng, YU Jiapeng, ZHANG Kun, XU Na.
Real-time detection of industrial SO3 gas concentration and multivariate nonlinear regression modeling
[J]. Chemical Industry and Engineering Progress, 2022, 41(11): 5737-5745.
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[14] |
WANG Ying, RAN Jinye, ZHANG Jin, YANG Xin, ZHANG Hao.
Prediction of heavy haze pollution episodes based on deep feature fusion of pollutant and meteorological time series in Xi’an during 2015—2020 heating season
[J]. Chemical Industry and Engineering Progress, 2022, 41(10): 5685-5694.
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[15] |
ZHANG Lihong, LI Jie, WANG Ya’e, XIE Huina, ZHAO Wei, LI Jing.
Feammox: a novel autotrophic nitrogen removal technology
[J]. Chemical Industry and Engineering Progress, 2022, 41(1): 391-399.
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