Theory-guided full convolutional neural network: An efficient surrogate model for inverse problems in subsurface contaminant transport

Deep learning in pore scale imaging and modeling

(2021) Ying Da Wang et al.   EARTH-SCIENCE REVIEWS

Prediction of elastic stresses in porous materials using fully convolutional networks

(2021) Özgür Keleṣ et al.   SCRIPTA MATERIALIA

Solution of diffusivity equations with local sources/sinks and surrogate modeling using weak form Theory-guided Neural Network

(2021) Rui Xu et al.   ADVANCES IN WATER RESOURCES

Deep learning of subsurface flow via theory-guided neural network

(2020) Nanzhe Wang et al.   JOURNAL OF HYDROLOGY

A Machine Learning-based Algorithm for Water Network Contamination Source Localization

(2020) Luka Grbčić et al.   SENSORS

Machine learning prediction of thermal transport in porous media with physics-based descriptors

(2020) Han Wei et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Markov chain Monte Carlo with neural network surrogates: application to contaminant source identification

(2020) Zitong Zhou et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Efficient uncertainty quantification for dynamic subsurface flow with surrogate by Theory-guided Neural Network

(2020) Nanzhe Wang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Deep autoregressive neural networks for high‐dimensional inverse problems in groundwater contaminant source identification

(2019) Shaoxing Mo et al.   WATER RESOURCES RESEARCH

Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

(2019) Luning Sun et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Contamination source identification in water distribution networks using convolutional neural network

(2019) Lian Sun et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Predicting Effective Diffusivity of Porous Media from Images by Deep Learning

(2019) Haiyi Wu et al.   Scientific Reports

Simultaneous identification of a contaminant source and hydraulic conductivity via the restart normal-score ensemble Kalman filter

(2018) Teng Xu et al.   ADVANCES IN WATER RESOURCES

An adaptive Gaussian process-based iterative ensemble smoother for data assimilation

(2018) Lei Ju et al.   ADVANCES IN WATER RESOURCES

A model-independent iterative ensemble smoother for efficient history-matching and uncertainty quantification in very high dimensions

(2018) Jeremy T. White   ENVIRONMENTAL MODELLING & SOFTWARE

Iterative filter based estimation of fully 3D heterogeneous fields of permeability and Mualem-van Genuchten parameters

(2018) A. Chaudhuri et al.   ADVANCES IN WATER RESOURCES

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation

(2016) Jasper A. Vrugt   ENVIRONMENTAL MODELLING & SOFTWARE

Probabilistic collocation method for strongly nonlinear problems: 3. Transform by time

(2016) Qinzhuo Liao et al.   WATER RESOURCES RESEARCH

Efficient Bayesian experimental design for contaminant source identification

(2015) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

Levenberg–Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification

(2013) Yan Chen et al.   COMPUTATIONAL GEOSCIENCES

Efficient posterior exploration of a high-dimensional groundwater model from two-stage Markov chain Monte Carlo simulation and polynomial chaos expansion

(2013) Eric Laloy et al.   WATER RESOURCES RESEARCH

Characterization of groundwater contaminant source using Bayesian method

(2012) Hui Wang et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Comparing Nonlinear Regression and Markov Chain Monte Carlo Methods for Assessment of Prediction Uncertainty in Vadose Zone Modeling

(2012) Xiaoqing Shi et al.   VADOSE ZONE JOURNAL

An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering

(2011) Haiyan Zhou et al.   ADVANCES IN WATER RESOURCES

A sparse grid based Bayesian method for contaminant source identification

(2011) Lingzao Zeng et al.   ADVANCES IN WATER RESOURCES

Bayesian Inference and Markov Chain Monte Carlo Sampling to Reconstruct a Contaminant Source on a Continental Scale

(2008) Luca Delle Monache et al.   Journal of Applied Meteorology and Climatology