Hydro-geophysical monitoring of orchard root zone dynamics in semi-arid region Z Moreno, A Arnon-Zur, A Furman Irrigation Science 33, 303-318, 2015 | 36 | 2015 |
Impact of Sub‐core‐scale Heterogeneity on Meter‐Scale Flow and Brine Displacement in Drainage by CO2 Z Moreno, A Rabinovich Water Resources Research 57 (1), e2020WR028332, 2021 | 26 | 2021 |
Mapping underground layers in the super arid Gidron Wadi using electrical resistivity tomography (ERT) G Winters, I Ryvkin, T Rudkov, Z Moreno, A Furman Journal of Arid Environments 121, 79-83, 2015 | 25 | 2015 |
Modeling water flow and solute transport in unsaturated soils using physics‐informed neural networks trained with geoelectrical data P Haruzi, Z Moreno Water Resources Research 59 (6), e2023WR034538, 2023 | 16 | 2023 |
Semi‐analytical modeling of rate‐dependent relative permeability in heterogeneous formations Z Moreno, E Anto‐Darkwah, A Rabinovich Water Resources Research 57 (4), e2021WR029710, 2021 | 15 | 2021 |
Prediction of pollutant remediation in a heterogeneous aquifer in Israel: Reducing uncertainty by incorporating lithological, head and concentration data Z Moreno, A Paster Journal of Hydrology 564, 651-666, 2018 | 13 | 2018 |
Evaluating numerical simulation errors of CO2-brine flow with capillary heterogeneity using a 1D semi-analytical solution Z Moreno, A Rabinovich International Journal of Greenhouse Gas Control 110, 103416, 2021 | 11 | 2021 |
Prediction of remediation of a heterogeneous aquifer: A case study Z Moreno, A Paster Groundwater 55 (3), 428-439, 2017 | 7 | 2017 |
Physics-informed neural networks for modeling two-phase steady state flow with capillary heterogeneity at varying flow conditions A Chakraborty, A Rabinovich, Z Moreno Advances in Water Resources 185, 104639, 2024 | 5 | 2024 |
A wetting‐front model for vadose zone infiltration via drywells Z Moreno, A Paster, T Kamai Water Resources Research 59 (1), e2022WR033554, 2023 | 5 | 2023 |
Fine-scale heterogeneous structure impact on the scale-dependency of the effective hydro-electrical relations of unsaturated soils Z Moreno Advances in Water Resources 162, 104156, 2022 | 5 | 2022 |
A genetic algorithm for stochastic inversion in contaminant subsurface hydrology Z Moreno, A Paster Groundwater 57 (5), 704-717, 2019 | 3 | 2019 |
Sub-core permeability estimation from coreflooding experiments: Numerical analysis for evaluating accuracy and improving methods Y Wei, Z Moreno, A Rabinovich Advances in Water Resources 193, 104817, 2024 | 1 | 2024 |
Physics‐informed neural networks trained with time‐lapse geo‐electrical tomograms to estimate water saturation, permeability and petrophysical relations at heterogeneous soils C Sakar, N Schwartz, Z Moreno Water Resources Research 60 (8), e2024WR037672, 2024 | 1 | 2024 |
A data-driven physics-informed deep learning approach for estimating sub-core permeability from coreflooding saturation measurements A Chakraborty, A Rabinovich, Z Moreno Advances in Water Resources, 104919, 2025 | | 2025 |
Drywell infiltration performance: Tests, monitoring, simple, and detailed models L Netzer, D Russo, U Nachshon, Z Moreno, M Ben‐Hur, R Katzir, ... Water Resources Research 61 (2), e2024WR037524, 2025 | | 2025 |
A physics based deep learning approach for estimating sub-core permeability structures from two-phase flow coreflooding experiments Z Moreno, A Chakraborty, A Rabinovich AGU24, 2024 | | 2024 |
Upscaling Permeability, Petrophysical Relations and Water Saturation Maps of Heterogeneous Soils Using Physics-Informed Neural Networks Trained with Time-lapse Geo-electrical … C Sakar, N Schwartz, Z Moreno EGU General Assembly Conference Abstracts, 6719, 2024 | | 2024 |
Simulating two-phase flow using Physics-informed neural networks with capillary heterogeneity and hydraulic discontinuities A Chakraborty, Z Moreno EGU General Assembly Conference Abstracts, 3458, 2024 | | 2024 |
Simulating water flow and solute transport at unsaturated soils with unknown initial conditions using physics-informed neural networks trained with time-lapse geoelectrical … Z Moreno, P Haruzi EGU General Assembly Conference Abstracts, EGU-956, 2023 | | 2023 |