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Bicheng Yan

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

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Physical Review. E|May 17, 2024
Implementation of contact line motion based on the phase-field lattice Boltzmann methodLong Ju, Zhaoli Guo, Bicheng Yan, et al.
Scientific Reports|November 30, 2022
Improving deep learning performance for predicting large-scale geological [Formula: see text] sequestration modeling through feature coarseningBicheng Yan, Dylan Robert Harp, Bailian Chen, et al.
ACS Omega|February 26, 2024
Fractured Geothermal Reservoir Using CO<sub>2</sub> as Geofluid: Numerical Analysis and Machine Learning ModelingManojkumar Gudala, Zeeshan Tariq, Suresh Kumar Govindarajan, et al.
Chemosphere|October 20, 2023
Predicting wettability of mineral/CO<sub>2</sub>/brine systems via data-driven machine learning modeling: Implications for carbon geo-sequestrationZeeshan Tariq, Muhammad Ali, Aliakbar Hassanpouryouzband, et al.
Physical Chemistry Chemical Physics : PCCP|December 4, 2024
Doped hexa-<i>peri</i>-hexabenzocoronene as anode materials for lithium- and magnesium-ion batteriesRemya Geetha Sadasivan Nair, Arun Kumar Narayanan Nair, Bicheng Yan, et al.
ACS Omega|May 13, 2024
Prediction of Foam Rheology Models Parameters Utilizing Machine Learning ToolsJawad Al-Darweesh, Murtada Saleh Aljawad, Zeeshan Tariq, et al.
The Journal of Physical Chemistry. B|April 24, 2025
Molecular Structure and Thermodynamics of CO<sub>2</sub> and Water Adsorption on MicaMert Aybar, Hongwei Zhang, Rui Qiao, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|July 23, 2025
Molecular Insights into the Effects of Cushion Gas on Underground Hydrogen StorageXinyu Yao, Arun Kumar Narayanan Nair, Mohd Fuad Anwari Che Ruslan, et al.
ACS Omega|November 21, 2022
Machine Learning-Based Accelerated Approaches to Infer Breakdown Pressure of Several Unconventional Rock TypesZeeshan Tariq, Bicheng Yan, Shuyu Sun, et al.
Pageof 1

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

Sort By:
Pageof 1
Physical Review. E|May 17, 2024
Implementation of contact line motion based on the phase-field lattice Boltzmann methodLong Ju, Zhaoli Guo, Bicheng Yan, et al.
Scientific Reports|November 30, 2022
Improving deep learning performance for predicting large-scale geological [Formula: see text] sequestration modeling through feature coarseningBicheng Yan, Dylan Robert Harp, Bailian Chen, et al.
ACS Omega|February 26, 2024
Fractured Geothermal Reservoir Using CO<sub>2</sub> as Geofluid: Numerical Analysis and Machine Learning ModelingManojkumar Gudala, Zeeshan Tariq, Suresh Kumar Govindarajan, et al.
Chemosphere|October 20, 2023
Predicting wettability of mineral/CO<sub>2</sub>/brine systems via data-driven machine learning modeling: Implications for carbon geo-sequestrationZeeshan Tariq, Muhammad Ali, Aliakbar Hassanpouryouzband, et al.
Physical Chemistry Chemical Physics : PCCP|December 4, 2024
Doped hexa-<i>peri</i>-hexabenzocoronene as anode materials for lithium- and magnesium-ion batteriesRemya Geetha Sadasivan Nair, Arun Kumar Narayanan Nair, Bicheng Yan, et al.
ACS Omega|May 13, 2024
Prediction of Foam Rheology Models Parameters Utilizing Machine Learning ToolsJawad Al-Darweesh, Murtada Saleh Aljawad, Zeeshan Tariq, et al.
The Journal of Physical Chemistry. B|April 24, 2025
Molecular Structure and Thermodynamics of CO<sub>2</sub> and Water Adsorption on MicaMert Aybar, Hongwei Zhang, Rui Qiao, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|July 23, 2025
Molecular Insights into the Effects of Cushion Gas on Underground Hydrogen StorageXinyu Yao, Arun Kumar Narayanan Nair, Mohd Fuad Anwari Che Ruslan, et al.
ACS Omega|November 21, 2022
Machine Learning-Based Accelerated Approaches to Infer Breakdown Pressure of Several Unconventional Rock TypesZeeshan Tariq, Bicheng Yan, Shuyu Sun, et al.
Pageof 1