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Zhenxue Dai

Staff Scientist

Los Alamos National Laboratory

United States

Research Interests

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Professors in United States

Articles (20)

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Collaborators (8)

Javier Samper

Catedratico/Professor

Universidade da Coruña

SPAIN

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Mohamad R. Soltanian

Full Professor of Hydrogeology

University of Cincinnati

UNITED STATES

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Hung Vo Thanh

Assistant Professor

Waseda University

JAPAN

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Shengnan Chen

Associate Professor

University of Calgary

CANADA

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Huichao Yin

University of New Mexico

UNITED STATES

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Weon Shik Han

Professor

Yonsei University

SOUTH KOREA

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Wenfu Yan

Professor

Jilin University

CHINA

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Derek Elsworth

Professor

Pennsylvania State University

UNITED STATES

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Zhenxue Dai

Research Interests

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Articles (20)

Caprock breakthrough pressure for geological CO2 sequestration: advances in characterization and controlling mechanisms

Geometric confinement regulates shape-dependent microplastic migration across air–water interfaces in variably saturated porous media

Artificial intelligence-driven monitoring network optimization under reservoir uncertainty for underground hydrogen storage

Applications of artificial intelligence models in seawater intrusion: progress, challenges, and future directions

U-shape convolutional neural network-based granite mineral facies characterization and sorption coefficient uncertainty quantification

Transport and Attenuation of Human Viruses in Groundwater: Assessment of Adsorption-Induced Interfacial Inactivation and Evidence of Aggregation

Machine Learning-Driven Insights into CO2-Driven CH4 Displacement: Impacts of Pore Structure and Flow Conditions

Autonomous inverse modeling of complex groundwater systems via a physics-integrated large language model multi-agent framework

Advances and challenges in machine learning-based identification of organic pollutant sources in heterogeneous aquifers

Localization of Spatiotemporally Heterogeneous Subsurface Flows Using Autoencoder‐Based Deep Learning Framework for Time‐Lapse Self‐Potential Tomography

Machine learning-guided reactive transport modeling of CO2-water-rock interactions in heterogeneous shale

Analysis of the influence mechanisms of key operational parameters on underground hydrogen storage

Data dependency in deep learning-based multi-scale fracture system characterization using hydrogeophysical data

A multi-model framework for risk assessment of high-level radionuclide geological disposal

Multiscale simulation and machine learning sensitivity analysis of pore-structure controls on solute transport in heterogeneous porous media

CO2 Exsolution and Residual Trapping Influenced by Heterogeneity During Imbibition in Conglomerates: A Core‐Scale Multiphase Flow

Combining hydrologic, chemical, and geophysical deep learning-based inversion for heterogeneous aquifer structure identification

Impacts of validation strategy and geological complexity on machine learning-based subsurface structure modeling

Multi-source data-based deep learning framework with masked loss function for predicting freeze-thaw-induced degradation in geomaterials

Impact of observation and surrogate-model noises on deep learning-based subsurface heterogeneous structure identification through monitoring network optimization

Collaborators (8)

Javier Samper

Mohamad R. Soltanian

Hung Vo Thanh

Shengnan Chen

Huichao Yin

Weon Shik Han

Wenfu Yan

Derek Elsworth

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