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Kexin Bi (毕可鑫)
Kexin Bi (毕可鑫)
在 mails.tsinghua.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Bidirectional recurrent neural network-based chemical process fault diagnosis
S Zhang, K Bi, T Qiu
Industrial & Engineering Chemistry Research 59 (2), 824-834, 2019
792019
An intelligent SVM modeling process for crude oil properties prediction based on a hybrid GA-PSO method
K Bi, T Qiu
Chinese Journal of Chemical Engineering 27 (8), 1888-1894, 2019
422019
Knowledge expression, numerical modeling and optimization application of ethylene thermal cracking: From the perspective of intelligent manufacturing
K Bi, S Zhang, C Zhang, H Li, X Huang, H Liu, T Qiu
Chinese Journal of Chemical Engineering 38, 1-17, 2021
212021
Integrated modeling of transfer learning and intelligent heuristic optimization for a steam cracking process
K Bi, B Beykal, S Avraamidou, I Pappas, EN Pistikopoulos, T Qiu
Industrial & engineering chemistry research 59 (37), 16357-16367, 2020
202020
Novel naphtha molecular reconstruction process using a self-adaptive cloud model and hybrid genetic algorithm–particle swarm optimization algorithm
K Bi, T Qiu
Industrial & Engineering Chemistry Research 58 (36), 16753-16760, 2019
192019
GC-MS fingerprints profiling using machine learning models for food flavor prediction
K Bi, D Zhang, T Qiu, Y Huang
Processes 8 (1), 23, 2019
182019
Droplet in droplet: LBM simulation of modulated liquid mixing
Y Fu, L Bai, S Zhao, K Bi, Y Jin, Y Cheng
Chemical Engineering Science 155, 428-437, 2016
182016
Numerical study of Janus droplet formation in microchannels by a lattice Boltzmann method
Y Fu, L Bai, K Bi, S Zhao, Y Jin, Y Cheng
Chemical Engineering and Processing: Process Intensification 119, 34-43, 2017
172017
Finding the optimal CO2 adsorption material: Prediction of multi-properties of metal-organic frameworks (MOFs) based on DeepFM
M Feng, M Cheng, X Ji, L Zhou, Y Dang, K Bi, Z Dai, Y Dai
Separation and Purification Technology 302, 122111, 2022
162022
A deep learning method for yogurt preferences prediction using sensory attributes
K Bi, T Qiu, Y Huang
Processes 8 (5), 518, 2020
162020
High-throughput computational screening of Covalent− Organic framework membranes for helium purification
M Feng, M Cheng, J Deng, X Ji, L Zhou, Y Dang, K Bi, Z Dai, Y Dai
Results in Engineering 15, 100538, 2022
152022
High-throughput screening of metal–organic frameworks for hydrogen purification
S Wang, M Cheng, L Luo, X Ji, C Liu, K Bi, L Zhou
Chemical Engineering Journal 451, 138436, 2023
102023
An ingenious characterization of reaction network using sub-network reconstruction
K Bi, C Zhang, T Qiu
Computers & Chemical Engineering 134, 106695, 2020
82020
High-throughput computational screening of metal-organic frameworks for CH4/H2 separation by synergizing machine learning and molecular simulation
W Shihui, X Xiaoyu, C Min, C Shaochen, L Chong, Z Li, B Kexin, J Xu
Acta Chimica Sinica 80 (5), 614, 2022
72022
Extraction and analysis of risk factors from Chinese chemical accident reports
X Luo, X Feng, X Ji, Y Dang, L Zhou, K Bi, Y Dai
Chinese Journal of Chemical Engineering 61, 68-81, 2023
52023
Consumer-oriented sensory optimization of yogurt: an artificial intelligence approach
K Bi, S Zhang, C Zhang, T Qiu
Food Control 138, 108995, 2022
52022
A high-performance molecular reconstruction method with parameter initialization based on PCA
K Bi, T Qiu
Computer Aided Chemical Engineering 44, 2005-2010, 2018
52018
大规模可再生能源电解水制氢合成氨关键技术与应用研究进展
吉旭, 周步祥, 贺革, 邱一苇, 毕可鑫, 周利, 戴一阳
工程科学与技术 54 (5), 1-11, 2022
42022
A large-scale screening of metal-organic frameworks for iodine capture combining molecular simulation and machine learning
M Cheng, Z Zhang, S Wang, K Bi, K Hu, Z Dai, Y Dai, C Liu, L Zhou, X Ji, ...
Frontiers of Environmental Science & Engineering 17 (12), 148, 2023
32023
Machine Learning-Enabled Framework for High-Throughput Screening of MOFs: Application in Radon/Indoor Air Separation
J Ren, S Wang, K Bi, M Cheng, C Liu, L Zhou, X Xue, X Ji
ACS Applied Materials & Interfaces 15 (1), 1305-1316, 2022
32022
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