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Haishan Yu

Showing results (1-10 of 9) with videos related to

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Science Bulletin|January 20, 2023
Accelerating catalysts design by machine learningHaishan Yu, Jun Jiang
Environmental Science and Pollution Research International|January 14, 2022
Correction to: A bibliometric review on carbon accounting in social science during 1997-2020Yikun Zheng, Haishan Yu, Yuquan Zhang
Environmental Science and Pollution Research International|December 2, 2021
A bibliometric review on carbon accounting in social science during 1997-2020Yikun Zheng, Haishan Yu, Yuquan Zhang
Plos One|September 27, 2016
Probing Cellular and Molecular Mechanisms of Cigarette Smoke-Induced Immune Response in the Progression of Chronic Obstructive Pulmonary Disease Using Multiscale Network ModelingZhichao Pan, Haishan Yu, Jie-Lou Liao
The Journal of Physical Chemistry. A|July 30, 2025
Machine Learning-Driven Deconvolution of Mixed X-ray Absorption SpectraKexin Wang, Haishan Yu, Xiangwei Lu, et al.
The Journal of Physical Chemistry. B|September 14, 2024
A Machine Learning Approach for Efficiently Predicting Polymer Aging from UV-Vis SpectraHaishan Yu, DaDi Zhang, Lei Cui, et al.
ACS Applied Materials & Interfaces|October 14, 2020
Theoretical Calculation of Hydrogen Generation and Delivery via Photocatalytic Water Splitting in Boron-Carbon-Nitride Nanotube/Metal Cluster HybridYan Huang, Tongtong Yang, Haishan Yu, et al.
The Journal of Physical Chemistry. A|April 22, 2020
Using Machine Learning to Predict the Dissociation Energy of Organic CarbonylsHaishan Yu, Ying Wang, Xijun Wang, et al.
Environment, Development and Sustainability|August 24, 2022
Examining industrial air pollution embodied in trade: implications of a hypothetical China-UK FTAYuquan W Zhang, Yong Geng, Bin Zhang, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Science Bulletin|January 20, 2023
Accelerating catalysts design by machine learningHaishan Yu, Jun Jiang
Environmental Science and Pollution Research International|January 14, 2022
Correction to: A bibliometric review on carbon accounting in social science during 1997-2020Yikun Zheng, Haishan Yu, Yuquan Zhang
Environmental Science and Pollution Research International|December 2, 2021
A bibliometric review on carbon accounting in social science during 1997-2020Yikun Zheng, Haishan Yu, Yuquan Zhang
Plos One|September 27, 2016
Probing Cellular and Molecular Mechanisms of Cigarette Smoke-Induced Immune Response in the Progression of Chronic Obstructive Pulmonary Disease Using Multiscale Network ModelingZhichao Pan, Haishan Yu, Jie-Lou Liao
The Journal of Physical Chemistry. A|July 30, 2025
Machine Learning-Driven Deconvolution of Mixed X-ray Absorption SpectraKexin Wang, Haishan Yu, Xiangwei Lu, et al.
The Journal of Physical Chemistry. B|September 14, 2024
A Machine Learning Approach for Efficiently Predicting Polymer Aging from UV-Vis SpectraHaishan Yu, DaDi Zhang, Lei Cui, et al.
ACS Applied Materials & Interfaces|October 14, 2020
Theoretical Calculation of Hydrogen Generation and Delivery via Photocatalytic Water Splitting in Boron-Carbon-Nitride Nanotube/Metal Cluster HybridYan Huang, Tongtong Yang, Haishan Yu, et al.
The Journal of Physical Chemistry. A|April 22, 2020
Using Machine Learning to Predict the Dissociation Energy of Organic CarbonylsHaishan Yu, Ying Wang, Xijun Wang, et al.
Environment, Development and Sustainability|August 24, 2022
Examining industrial air pollution embodied in trade: implications of a hypothetical China-UK FTAYuquan W Zhang, Yong Geng, Bin Zhang, et al.
Pageof 1