Artigos com autorizações de acesso público - Jonghyun "Harry" LeeSaiba mais
1 artigo não disponível publicamente
Optimal decision making algorithm for managed aquifer recharge and recovery operation using near real‐time data: Benchtop scale laboratory demonstration
Z Drumheller, KM Smits, TH Illangasekare, J Regnery, J Lee, PK Kitanidis
Groundwater Monitoring & Remediation 37 (1), 27-41, 2017
Autorizações: US National Science Foundation
44 artigos disponíveis publicamente
A framework for data-driven solution and parameter estimation of pdes using conditional generative adversarial networks
T Kadeethum, D O’Malley, JN Fuhg, Y Choi, J Lee, HS Viswanathan, ...
Nature Computational Science 1 (12), 819-829, 2021
Autorizações: US Department of Energy
A learning-based data-driven forecast approach for predicting future reservoir performance
H Jeong, AY Sun, J Lee, B Min
Advances in Water Resources 118, 95-109, 2018
Autorizações: US National Science Foundation, US Department of Energy, US Department of …
Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen–Loève expansion
AK Saibaba, J Lee, PK Kitanidis
Numerical Linear Algebra with Applications 23 (2), 314-339, 2016
Autorizações: US National Science Foundation
Imaging geochemical heterogeneities using inverse reactive transport modeling: An example relevant for characterizing arsenic mobilization and distribution
S Fakhreddine, J Lee, PK Kitanidis, S Fendorf, M Rolle
Advances in Water Resources 88, 186-197, 2016
Autorizações: US National Science Foundation
Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology
H Ghorbanidehno, A Kokkinaki, J Lee, E Darve
Journal of Hydrology 591, 125266, 2020
Autorizações: US National Science Foundation, US Department of Energy
Microfluidic Investigation of Salinity-Induced Oil Recovery in Porous Media during Chemical Flooding
S Park, J Lee, H Yoon, S Shin
Energy & Fuels 35 (6), 4885-4892, 2021
Autorizações: US National Science Foundation, US Department of Energy
Scalable subsurface inverse modeling of huge data sets with an application to tracer concentration breakthrough data from magnetic resonance imaging
J Lee, H Yoon, PK Kitanidis, CJ Werth, AJ Valocchi
Water Resources Research 52 (7), 5213-5231, 2016
Autorizações: US National Science Foundation, US Department of Energy
Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother
X Kang, A Kokkinaki, PK Kitanidis, X Shi, J Lee, S Mo, J Wu
Water Resources Research 57 (2), e2020WR028538, 2021
Autorizações: US National Science Foundation, National Natural Science Foundation of China
Improved characterization of heterogeneous permeability in saline aquifers from transient pressure data during freshwater injection
PK Kang, J Lee, X Fu, S Lee, PK Kitanidis, R Juanes
Water Resources Research 53 (5), 4444-4458, 2017
Autorizações: US National Science Foundation, US Department of Energy
Optimizing automated kriging to improve spatial interpolation of monthly rainfall over complex terrain
MP Lucas, RJ Longman, TW Giambelluca, AG Frazier, J Mclean, ...
Journal of Hydrometeorology 23 (4), 561-572, 2022
Autorizações: US National Science Foundation
Reactive fronts in chemically heterogeneous porous media: Experimental and modeling investigation of pyrite oxidation
M Battistel, M Muniruzzaman, F Onses, J Lee, M Rolle
Applied Geochemistry 100, 77-89, 2019
Autorizações: US National Science Foundation, Danish Council for Independent Research
Improved characterization of DNAPL source zones via sequential hydrogeophysical inversion of hydraulic‐head, self‐potential and partitioning‐tracer data
X Kang, A Kokkinaki, PK Kitanidis, X Shi, A Revil, J Lee, A Soueid Ahmed, ...
Water Resources Research 56 (8), e2020WR027627, 2020
Autorizações: US National Science Foundation, National Natural Science Foundation of China
Longitudinal dispersion coefficients for numerical modeling of groundwater solute transport in heterogeneous formations
J Lee, M Rolle, PK Kitanidis
Journal of contaminant hydrology 212, 41-54, 2018
Autorizações: US National Science Foundation, US Department of Energy, US Department of …
Riverine bathymetry imaging with indirect observations
J Lee, H Ghorbanidehno, MW Farthing, TJ Hesser, EF Darve, PK Kitanidis
Water Resources Research 54 (5), 3704-3727, 2018
Autorizações: US National Science Foundation, US Department of Energy, US Department of …
Deep learning technique for fast inference of large-scale riverine bathymetry
H Ghorbanidehno, J Lee, M Farthing, T Hesser, EF Darve, PK Kitanidis
Advances in Water Resources 147, 103715, 2021
Autorizações: US National Science Foundation, US Department of Energy, US Department of …
PBBFMM3D: a parallel black-box algorithm for kernel matrix-vector multiplication
R Wang, C Chen, J Lee, E Darve
Journal of Parallel and Distributed Computing 154, 64-73, 2021
Autorizações: US National Science Foundation, US Department of Energy, US Department of …
Application of deep learning to large scale riverine flow velocity estimation
M Forghani, Y Qian, J Lee, MW Farthing, T Hesser, PK Kitanidis, EF Darve
Stochastic Environmental Research and Risk Assessment 35, 1069-1088, 2021
Autorizações: US National Science Foundation, US Department of Energy
Trace organic chemical attenuation during managed aquifer recharge: Insights from a variably saturated 2D tank experiment
J Regnery, J Lee, ZW Drumheller, JE Drewes, TH Illangasekare, ...
Journal of Hydrology 548, 641-651, 2017
Autorizações: US National Science Foundation
Fast large-scale joint inversion for deep aquifer characterization using pressure and heat tracer measurements
J Lee, A Kokkinaki, PK Kitanidis
Transport in Porous Media 123 (3), 533-543, 2018
Autorizações: US National Science Foundation, US Department of Energy, US Department of …
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