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Deep Autoregressive Neural Networks for High‐Dimensional Inverse Problems in Groundwater Contaminant Source Identification

Water resources research, 2019-05, Vol.55 (5), p.3856-3881

2019

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Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media

Water resources research, 2019-01, Vol.55 (1), p.703-728

2019

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Optimized arrays for electrical resistivity tomography survey using Bayesian experimental design

Geophysics, 2022-08, Vol.87 (4), p.E189-E203

2022

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Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non‐Gaussian Hydraulic Conductivities

Water resources research, 2020-02, Vol.56 (2), p.n/a

2020

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Quantitative Evaluation and Case Study of Risk Degree for Underground Goafs with Multiple Indexes considering Uncertain Factors in Mines

Geofluids, 2017-01, Vol.2017 (2017), p.1-15

2017

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Effect of collaborative nursing method based on RAM model on postoperative functional reconstruction, soft tissue pain and living quality in patients with femoral trochanter fracture

BMC musculoskeletal disorders, 2024-08, Vol.25 (1), p.627-11, Article 627

2024

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A meta-analysis on effects of root development on soil hydraulic properties

Geoderma, 2021-12, Vol.403, p.115363, Article 115363

2021

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Numerical Modeling of Soil Evaporation Process and Its Stages Dividing during a Drying Cycle

Geofluids, 2017-01, Vol.2017 (2017), p.1-11

2017

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Characterization of the non-Gaussian hydraulic conductivity field via deep learning-based inversion of hydraulic-head and self-potential data

Journal of hydrology (Amsterdam), 2022-07, Vol.610, p.127830, Article 127830

2022

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Numerical Modeling of CO2 and Brine Leakage through Open Fracture in a Fault Zone: Open Channel Flow or Darcy Flow

Geofluids, 2017-01, Vol.2017 (2017), p.1-21

2017

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Simulation and Analysis of Long-Term CO2 Trapping for the Shenhua CCS Demonstration Project in the Ordos Basin

Geofluids, 2017-01, Vol.2017 (2017), p.1-18

2017

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Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman‐Inspired Proposal Distribution

Water resources research, 2020-03, Vol.56 (3), p.n/a

2020

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Multi-Time-Scale Rolling Optimal Scheduling of Virtual Power Plants in Energy and Flexible Ramping Product Markets

Energies (Basel), 2023-10, Vol.16 (19), p.6806

2023

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Cl− as a Chemical Fingerprint of Solute Transport in the Aquitard-Aquifer System of the North Jiangsu Coastal Plain, China

Geofluids, 2017-01, Vol.2017 (2017), p.1-16

2017

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Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother

Water resources research, 2021-02, Vol.57 (2), p.n/a

2021

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Deep learning based optimization under uncertainty for surfactant-enhanced DNAPL remediation in highly heterogeneous aquifers

Journal of hydrology (Amsterdam), 2022-05, Vol.608, p.127639, Article 127639

2022

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Integrating deep learning-based data assimilation and hydrogeophysical data for improved monitoring of DNAPL source zones during remediation

Journal of hydrology (Amsterdam), 2021-10, Vol.601, p.126655, Article 126655

2021

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Hydrological Droughts of 2017–2018 Explained by the Bayesian Reconstruction of GRACE(‐FO) Fields

Water resources research, 2022-09, Vol.58 (9), p.n/a

2022

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Coupled hydrogeophysical inversion to identify non-Gaussian hydraulic conductivity field by jointly assimilating geochemical and time-lapse geophysical data

Journal of hydrology (Amsterdam), 2019-11, Vol.578, p.124092, Article 124092

2019

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A Taylor Expansion‐Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling

Water resources research, 2017-12, Vol.53 (12), p.10802-10823

2017

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Modeling Upscaled Mass Discharge From Complex DNAPL Source Zones Using a Bayesian Neural Network: Prediction Accuracy, Uncertainty Quantification and Source Zone Feature Importance

Water resources research, 2024-07, Vol.60 (7), p.n/a

2024

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An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling

Computers & geosciences, 2019-04, Vol.125 (C), p.69-77

2019

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Residual NAPL Morphology Effects on Electrical Resistivity: Insights From Micromodel Displacement Experiments and Pore Network Simulations

Water resources research, 2022-12, Vol.58 (12), p.n/a

2022

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Coupled hydrogeophysical inversion of DNAPL source zone architecture and permeability field in a 3D heterogeneous sandbox by assimilation time-lapse cross-borehole electrical resistivity data via ensemble Kalman filtering

Journal of hydrology (Amsterdam), 2018-12, Vol.567, p.149-164

2018

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Integration of Deep Learning‐Based Inversion and Upscaled Mass‐Transfer Model for DNAPL Mass‐Discharge Estimation and Uncertainty Assessment

Water resources research, 2022-10, Vol.58 (10), p.n/a

2022

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Deep Autoregressive Neural Networks for High‐Dimensional Inverse Problems in Groundwater Contaminant Source Identification

Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media

Optimized arrays for electrical resistivity tomography survey using Bayesian experimental design

Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non‐Gaussian Hydraulic Conductivities

Quantitative Evaluation and Case Study of Risk Degree for Underground Goafs with Multiple Indexes considering Uncertain Factors in Mines

Effect of collaborative nursing method based on RAM model on postoperative functional reconstruction, soft tissue pain and living quality in patients with femoral trochanter fracture

A meta-analysis on effects of root development on soil hydraulic properties

Numerical Modeling of Soil Evaporation Process and Its Stages Dividing during a Drying Cycle

Characterization of the non-Gaussian hydraulic conductivity field via deep learning-based inversion of hydraulic-head and self-potential data

Numerical Modeling of CO2 and Brine Leakage through Open Fracture in a Fault Zone: Open Channel Flow or Darcy Flow

Simulation and Analysis of Long-Term CO2 Trapping for the Shenhua CCS Demonstration Project in the Ordos Basin

Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman‐Inspired Proposal Distribution

Multi-Time-Scale Rolling Optimal Scheduling of Virtual Power Plants in Energy and Flexible Ramping Product Markets

Cl− as a Chemical Fingerprint of Solute Transport in the Aquitard-Aquifer System of the North Jiangsu Coastal Plain, China

Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother

Deep learning based optimization under uncertainty for surfactant-enhanced DNAPL remediation in highly heterogeneous aquifers

Integrating deep learning-based data assimilation and hydrogeophysical data for improved monitoring of DNAPL source zones during remediation

Hydrological Droughts of 2017–2018 Explained by the Bayesian Reconstruction of GRACE(‐FO) Fields

Coupled hydrogeophysical inversion to identify non-Gaussian hydraulic conductivity field by jointly assimilating geochemical and time-lapse geophysical data

A Taylor Expansion‐Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling

Modeling Upscaled Mass Discharge From Complex DNAPL Source Zones Using a Bayesian Neural Network: Prediction Accuracy, Uncertainty Quantification and Source Zone Feature Importance

An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling

Residual NAPL Morphology Effects on Electrical Resistivity: Insights From Micromodel Displacement Experiments and Pore Network Simulations

Coupled hydrogeophysical inversion of DNAPL source zone architecture and permeability field in a 3D heterogeneous sandbox by assimilation time-lapse cross-borehole electrical resistivity data via ensemble Kalman filtering

Integration of Deep Learning‐Based Inversion and Upscaled Mass‐Transfer Model for DNAPL Mass‐Discharge Estimation and Uncertainty Assessment

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