132 citations as recorded by crossref.

1. Ultimate strength assessment of ship hull plates under non-uniform and non-stationary corrosion A. Kakaie et al.
2. Integrated hydrothermal characterization of DNAPL source zones and subsurface heterogeneity for enhancing DNAPL thermal remediation prediction S. Guo et al.
3. A novel hybrid surrogate model for the stability and post-failure analysis of spatially variable slopes using a smoothed sequential limit analysis H. Xu et al.
4. Acoustic cognitive map–based navigation in echolocating bats A. Goldshtein et al.
5. Challenges and Opportunities of Sentinel-1 InSAR for Transport Infrastructure Monitoring A. Piter et al.
6. Effect of soil spatial variability on simplified seismic slope displacement assessments T. Oathes & P. Bassal
7. Deep-learning surrogate models for the stability of a wide rectangular tunnel H. Nguyen et al.
8. Spatially Correlated Nuclear Magnetic Resonance Profiles as a Tool for Precision Agriculture R. Lamanna et al.
9. Stochastic control of geological carbon storage operations using geophysical monitoring and deep reinforcement learning K. Noh & A. Swidinsky
10. Glide-snow avalanches: a mechanical, threshold-based release area model A. Fees et al.
11. Efficient characterization of subsurface heterogeneity by inverting drawdown derivative data within a Fast Marching Method-Based deep neural network C. Li et al.
12. Machine learning for airborne electromagnetic data inversion: A bootstrapped approach O. Greif et al.
13. C3NN: Cosmological Correlator Convolutional Neural Network an Interpretable Machine-learning Framework for Cosmological Analyses Z. Gong et al.
14. Towards reusable building blocks for agent-based modelling and theory development U. Berger et al.
15. Gaussian process emulators for the undrained bearing capacity of spatially random soils using cell-based smoothed finite element method H. Nguyen et al.
16. Data-driven sparse learning of three-dimensional subsurface properties incorporating random field theory W. Chen et al.
17. A Bayesian extension to FEMU for identification of spatially varying stochastic elastic properties from digital image and volume correlation measurements A. Touminet et al.
18. Stochastic Periodic Microstructures for Multiscale Modelling of Heterogeneous Materials E. Ricketts
19. Spatial variability characterization and modelling of 2.5D woven SiO2f/SiO2 composites H. Wang et al.
20. Fuzzy membership function for weighting pairs in variographical analysis P. Masoudi
21. Variational and Monte Carlo Methods for Bayesian Inversion of Dynamic Subsurface Flow Simulations Using Seismic and Fluid Pressure Data Z. Zhang et al.
22. Formalization for Subsequent Computer Processing of Kara Sea Coastline Data D. Bogatova & S. Ogorodov
23. FZStats v1.0: a raster statistics toolbox for simultaneous management of spatial stratified heterogeneity and positional dependence in Python N. Ren et al.
24. A Deep Learning–Based Approach for the Evaluation of Tunneling-Induced Ground Surface Settlement Considering Spatial Variability of the Soil G. Niu & X. He
25. AquaCast: Urban water dynamics forecasting with precipitation-informed multi-input transformer G. Abdollahinejad et al.
26. Simultaneous identification of a contamination source and hydraulic conductivity based on a multimodal direct forward machine learning model Y. Zhu et al.
27. Intricate chemosymbiosis in a widespread shallow-water thyasirid clam M. Li et al.
28. TeXNet: A deep learning-based method for full-field displacement measurement on natural texture surfaces C. Li et al.
29. Catchment‐Scale Architecture of the Deep Critical Zone Revealed by Seismic Imaging S. Pasquet et al.
30. Enhancing hydraulic conductivity field characterization through integration of hydraulic head and tracer data using multi-modal neural network models C. Wang et al.
31. An end-to-end deep learning method for solving nonlocal Allen–Cahn and Cahn–Hilliard phase-field models Y. Geng et al.
32. A Physics-Informed Spatial-Temporal Neural Network for Reservoir Simulation and Uncertainty Quantification J. Bi et al.
33. Measuring the Unmeasurable: Models of Geographical Context A. Fotheringham & Z. Li
34. Unsupervised deep network for image texture transformation: Improving the quality of cross-correlation analysis and mechanical vortex visualisation during cardiac fibrillation D. Mangileva et al.
35. Statistical Analysis and Simulation of Material Properties in Structural Elements Using Nondestructive Testing Data Employing the Karhunen–Loève Expansion Method A. Owoeye et al.
36. Towards a new standard for seismic moment tensor inversion containing 3-D earth structure uncertainty T. Phạm et al.
37. Similarity quantification of soil spatial variability between two cross-sections using auto-correlation functions Y. Hu et al.
38. Method of distributions for transient flow in porous media with uncertain properties S. Tripuraneni et al.
39. Automated history matching for CO2-ECBM reservoirs using Fourier-UNet surrogate models and Ensemble Smoother with Multiple Data Assimilation X. Miao et al.
40. Discrete mechanical modeling of planar structures subjected to out-of-plane loading Q. Zhang et al.
41. A Novel Framework and a New Score for the Comparative Analysis of Forest Models Accounting for the Impact of Climate Change N. Besic et al.
42. Time-lapse ensemble-based electrical resistivity tomography to monitor water flow from managed aquifer recharge operations M. Arboleda-Zapata et al.
43. Comparing 2D and 3D slope stability in spatially variable soils using random finite-element method C. WU et al.
44. Predicting CO2-EOR and storage in low-permeability reservoirs with deep learning-based surrogate flow models S. Meng et al.
45. parafields: A generator for distributed, stationary Gaussian processes D. Kempf et al.
46. A Statistical Study of Latent Diffusion Models for Geological Facies Modeling O. Ovanger et al.
47. PyDDC: An Eulerian–Lagrangian simulator for density-driven convection of CO2—brine systems in saturated porous media S. Sen & S. Hansen
48. GPEP v1.0: the Geospatial Probabilistic Estimation Package to support Earth science applications G. Tang et al.
49. A hybrid CNN-transformer surrogate model for the multi-objective robust optimization of geological carbon sequestration Z. Feng et al.
50. Geological Sequestration in Tight Reservoirs with Different Fracturing Schemes: Weiyuan Gas Field, Sichuan Basin, China Z. Chen et al.
51. Sub-spatial prediction of votes integrating socioeconomic, educational, and age strata with machine learning and topological data analysis S. Mancilla et al.
52. Conditioning of multiple-point statistics simulations to indirect geophysical data S. Levy et al.
53. Estimation of the state and parameters in ice sheet model using an ensemble Kalman filter and Observing System Simulation Experiments Y. Choi et al.
54. A novel deep learning-based automatic search workflow for CO2 sequestration surrogate flow models J. Xu et al.
55. Estimating Contaminated Soil Volumes Using a Generative Neural Network: A Hydrocarbon Case in France H. Rakotonirina et al.
56. sGs UnMix: a web application for spatial prediction and mixture modeling with a case study on volcanic soil CO2 fluxes G. Bini et al.
57. A Statistical Finite Element Method Integrating a Plurigaussian Random Field Generator for Multi-scale Modelling of Solute Transport in Concrete E. Ricketts et al.
58. The influence of spatial variation on the design of foundations of immersed tunnels: Advanced probabilistic analysis C. ’t Hart et al.
59. Short Communication: The need for open-source hardware, software, and data-sharing specifications in geomorphology A. Moodie et al.
60. Convolutional Neural Networks to Estimate Residual Oil Saturation Through Partitioning Interwell Tracer Tests M. Velasco-Lozano & M. Balhoff
61. Seismic amplitude response to internal heterogeneity of mass-transport deposits J. Ford et al.
62. Effects of Permeability and Pyrite Distribution Heterogeneity on Pyrite Oxidation in Flooded Lignite Mine Dumps T. Schnepper et al.
63. Reliability assessment of front tunnel stability in twin tunnelling: A framework using an AutoML surrogate model accounting for soil spatial variability C. Wang et al.
64. A comparative study of deep learning-based simulation for geological CO2 sequestration Z. Tariq et al.
65. Toward signed distance function based metamaterial design: Neural operator transformer for forward prediction and diffusion model for inverse design Q. Liu et al.
66. Impacts of Permeability Heterogeneity and Background Flow on Supercritical CO2 Dissolution in the Deep Subsurface S. Hansen et al.
67. Influence of slab depth spatial variability on skier-triggering probability and avalanche size F. Meloche et al.
68. GaussianRandomFields.jl: A Julia package to generate and sample from Gaussian random fields P. Robbe
69. Quantifying variation in maximum floor accelerations of modular buildings under earthquakes through stochastic nonlinear structural analysis C. Wang & T. Chan
70. Comparing the Thin Plate Spline and Gaussian Interpolation Methods in Generating Hill of Visions for X-Linked Retinitis Pigmentosa Patients A. Alibhai et al.
71. Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements E. Kanin et al.
72. CoSwinNet: A conditional Swin Transformer multimodal surrogate model for subsurface multiphase flow Z. Feng et al.
73. Data-driven estimates for the geostatistical characterization of subsurface hydraulic properties F. Heße et al.
74. An extreme drought and heatwave event led to collapse of facilitation by metallophyte species in metalliferous ecosystems F. Delerue et al.
75. Revisiting strain localization from the view of structured inhomogeneity Z. Wang & R. Cudmani
76. Uncertainty Quantification of Contaminated Soil Volume with Deep Neural Networks and Predictive Models I. Guridi et al.
77. Modeling drug transport and absorption in subcutaneous injection of monoclonal antibodies: Impact of tissue deformation, devices, and physiology M. de Lucio et al.
78. HySIMU: An Open-Source Toolkit for Hyperspectral Remote Sensing Forward Modelling F. Atarita & A. Braun
79. Simulating heterogeneity within elastic and inelastic discrete mechanical models J. Raisinger et al.
80. Diffusive‐Dispersive Isotope Fractionation of Chlorinated Ethenes in Groundwater: The Key Role of Incomplete Mixing and Its Multi‐Scale Effects H. Wienkenjohann et al.
81. Mapping Live Coral: Comparing Spaceborne to Airborne Imaging Spectroscopy G. Asner et al.
82. Probabilistic risk assessment of hurricane-induced debris impacts on coastal transportation infrastructure K. Amini & J. Padgett
83. User Distribution and Throughput Model-Based Antenna Tilt Optimization H. Kinsho et al.
84. Algebraic multigrid methods for uncertainty quantification of source-type flows through randomly heterogeneous porous media V. Schiano Di Cola et al.
85. A mathematical programming model for the optimal utilization of deep saline aquifers for CO2 storage D. Trucco et al.
86. Reinforcement learning for real-time control of Resin Transfer Molding: Bridging simulation and experiments D. Mocerino et al.
87. Enhancing predictive understanding and accuracy in geological carbon dioxide storage monitoring: Simulation and history matching of tracer transport dynamics S. Khandoozi et al.
88. SchemaGAN: A conditional Generative Adversarial Network for geotechnical subsurface schematisation F. Campos Montero et al.
89. A multiple surrogate simulation-optimization framework for designing pump-and-treat systems C. Wang et al.
90. Groundwater storage loss in the central valley analysis using a novel method based on in situ data compared to GRACE-derived data M. Stevens et al.
91. The role of ground hydrothermal spatial variability on energy pile group thermal performance Q. Alqawasmeh et al.
92. An integrated approach for optimizing geological hydrogen storage S. Khandoozi et al.
93. Geophysical control of geologic carbon storage using deep reinforcement learning: Sensitivity to multigeophysical noise and to the uncertainty of digital twins K. Noh & A. Swidinsky
94. Probabilistic evaluation of 3D slope stability considering soil spatial variability using convolutional neural networks Z. Li et al.
95. Deep learning for the static and seismic bearing capacity of shallow strip footings on multi-layered slopes considering spatial soil variability H. Xu et al.
96. An adaptive global–local generalized FEM for multiscale advection–diffusion problems L. He et al.
97. Spatial Interpolation and Conditional Map Generation Using Deep Image Prior for Environmental Applications H. Rakotonirina et al.
98. Effects of Spatial Variation in Relative Density on Seismic Behavior of Saturated Sandy Ground M. Sawatsubashi et al.
99. Pollution risk evaluation of groundwater wells based on stochastic and deterministic simulation of aquifer lithology W. Yang et al.
100. Risk assessment of municipal solid waste (MSW) dumps using two-phase Random SPH: case study of three dumpsites S. Mhaski & G. Ramana
101. Integrated surrogate framework for reactive transport simulation of uranium in situ leaching with generative models W. Ji et al.
102. Effect of statistical uncertainty on kriging interpolation of 2D geospatial data from sparse measurements C. Miao & Y. Wang
103. A novel reservoir simulation model based on physics informed neural networks A. Liu et al.
104. Influence of spatial variability of permeability on thermal performance of energy tunnels A. Magdy et al.
105. GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation E. MacKie et al.
106. An encoder-decoder ConvLSTM surrogate model for simulating geological CO2 sequestration with dynamic well controls Z. Feng et al.
107. Efficient deep-learning-based surrogate model for reservoir production optimization using transfer learning and multi-fidelity data J. Cui et al.
108. Optical dispersions through intracellular inhomogeneities M. Watabe et al.
109. Time-dependent dispersion coefficients for the evolution of displacement fronts in heterogeneous porous media S. Tajima et al.
110. Methods for Characterizing Groundwater Resources with Sparse In Situ Data R. Nishimura et al.
111. Generalized Morse theory of distance functions to surfaces for persistent homology A. Song et al.
112. Improved bathymetry estimates beneath Amundsen Sea ice shelves using a Markov Chain Monte Carlo gravity inversion (GravMCMC, version 1) M. Field et al.
113. Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023 A. Biondi et al.
114. A Methodology for Three-Dimensional Slope Reliability Assessment Considering Spatial Variability C. Wu et al.
115. Monazite as an indicator for orogenic gold deposits: Constraints from detrital zircon Th/U ratio and isotope data in the Central Asian Orogenic Belt G. Cao & H. Chen
116. Stability and reliability analysis of rock slope based on parameter conditioned random field K. Chen & Q. Jiang
117. Deformation risk assessment in tunnel excavations: a stochastic physics-based Bayesian Gaussian process model B. Yu et al.
118. Demonstration of a Modular Prototype End-to-End Simulator for Aquatic Remote Sensing Applications M. Matthews et al.
119. CO2 sequestration and mineralization in basalts: Insights from a deep learning-based surrogate model W. Ouyang et al.
120. The effect of spherical projection on spin tests for brain maps V. Bazinet et al.
121. Decentralized Sparse Gaussian Process Regression with Event-Triggered Adaptive Inducing Points T. Norton et al.
122. GPR-based imaging and inference of heterogeneous aperture fields: Part I—experimental validation and correlation analysis D. Escallon et al.
123. Collective Migration-Inspired Large-Deformation Compensation for Nonrigid Image Registration D. Liu et al.
124. Building a framework for probabilistic assessment accounting for soil, spatial, operational and model uncertainty, applied to pile driveability T. Vergote & S. Raymackers
125. Influence of heterogeneity on gas transport in natural clays: a stochastic analysis Z. Huang et al.
126. Assessing Quantitative Precipitation Estimation Methods Based on the Fusion of Weather Radar and Rain-Gauge Data A. Biondi et al.
127. Relating defect concentrations to spatially fluctuating lattice strains A. Warwick et al.
128. Deep transfer learning for groundwater flow in heterogeneous aquifers using a simple analytical model J. Zhang et al.
129. Discrete modeling of elastic heterogeneous media Q. Zhang et al.
130. Toward Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields A. Xu & L. Heagy
131. Measuring basin-scale aquifer storage change and mapping specific yield in Albuquerque, New Mexico, USA, with repeat microgravity data J. Kennedy & M. Bell
132. A U-Net Enhanced Graph Neural Network to Simulate Geological Carbon Sequestration Z. Tariq et al.