-
Notifications
You must be signed in to change notification settings - Fork 1
/
sitemap-github.xml
188 lines (187 loc) · 26.9 KB
/
sitemap-github.xml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
<?xml version="1.0" encoding="UTF-8"?>
<urlset
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
xmlns:image="http://www.google.com/schemas/sitemap-image/1.1"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9
http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd">
<url><loc>http://madsjulia.github.io</loc><lastmod>2019-01-04T18:18:42+00:00</lastmod><image:image><image:loc>http://madsjulia.github.io/mads_logos/mads_white_swan_logo.png</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/images/dark.jpg</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/mads_logos/mads_white_swan_logo_big_text.png</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/logos/julia-logo.png</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/logos/cdt_logo_icon.png</image:loc></image:image></url>
<url><loc>http://madsjulia.github.io/papers/Hansen et al 2017 Inferring subsurface heterogeneity from push-drift tracer tests.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Vrugt et al 2007 VZJ.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/OMalley Vesselinov Cushman 2015 Diffusive mixing and Tsallis entropy.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/vesselinov Decision Analyses for Groundwater Remediation LA-UR-17-21909 wmsym2017.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Hansen et al 2018 Direct Breakthrough Curve Prediction from Statistics of Heterogeneous Conductivity Fields.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Lin et al 2018 Randomization in Characterizing the Subsurface.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Vesselinov et al 2018 Nonnegative Tensor Factorization for Contaminant Source Identification.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/hansen et al Prediction of Breakthrough Curves for Conservative and Reactive Transport AGU 2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Harp et al 2008 GRL.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Lin OMalley Vesselinov A computationally efficient parallel Levenberg-Marquardt algorithm for highly parameterized inverse model analyses 2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Telfeyan et al 2018 Long-term stability of dithionite in alkaline anaerobic aqueous solution.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/lin et al Hydraulic Inverse Modeling TV AGU 2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Mattis et al 2015 Parameter estimation and prediction for groundwatercontamination based on measure theory.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Hansen et al 2018 Local Equilibrium and Retardation Revisited.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/zhiming et al Identifying Aquifer Heterogeneities using the Level Set Method AGU 2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/Leif_LM_presentation_m.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Mishra & Vesselinov 2011 Unified Analytical Solution for Radial Flow to a Well in a Confined Aquifer.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Vesselinov & Harp 2010 cmwr decision.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Morales_et_al_on_ALRS.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Harp & Vesselinov 2012 geosampler.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Vrugt et al 2005 GRL.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/OMalley Vesselinov 2014 A Combined Probabilistic Nonprobabilistic Decision Analysis for Contaminant Remediation.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Zhang Vesselinov Integrated Modeling Approach for Optimal Management of Water, Energy and Food Security Nexus 2017.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/dharp_bb_2011_01.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Harp & Vesselinov 2010 gw.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/hansen et al Analysis of Hydrologic Time Series Reconstruction Uncertainty due to Inverse Model Inadequacy AGU 2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Hansen et al 2017 CHROTRAN 1.0 A mathematical and computational model for in situ heavy metal remediation in heterogeneous aquifers.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/LANL EM Modeling 20100413.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/OMalley Vesselinov 2014 Groundwater remediation using the information gap decision theory.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/OMalley et al 2017 Nonnegative:binary matrix factorization with a D-Wave quantum annealer.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/Vesselinov 2018 Novel Machine Learning Methods for Extraction of Features Characterizing Complex Datasets and Models LA-UR-18-30987.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Hansen Vesselinov Contaminant point source localization error estimates as functions of data quantity and model quality 2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/vesselinov omalley Reduced Order Models for Decision Analysis and Upscaling of Aquifer Heterogeneity AGU 2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/zhang vesselinov Bi-Level Decision Making for Supporting Energy and Water Nexus AGU 2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Harp & Vesselinov 2010 SERRA.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Lin et al 2017 Large-Scale Inverse Model Analyses Employing Fast Randomized Data Reduction.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Qian et al 2018 Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Harp & Vesselinov 2013 exp.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/LA-UR-12-22187 agni cmwr 20120614.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/bakarji_socialdynamics_LAUR_14-24002.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Mishra et al 2012 Variable Rate GW.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/vesselinov ZEM LA-UR-16-21469 wmsym2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/reports/LA-UR-05-6397 Decision Analysis-GWContaminants020106.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Lu et al 2018 Identifying arbitrary parameter zonation using multiple level set functions.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/OMalley Vesselinov ToQ.jl A high-level programming language for D-Wave machines based on Julia 2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Iliev et al 2018 Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Throckmorton et al 2016 Active layer hydrology in an arctic tundra ecosystem quantifying water source and cycling using water stable isotopes.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/OMalley Vesselinov Cushman 2014 A Method for Identifying Diffusive Trajectories with Stochastic Models.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Freedman et al 2014 A high-performance workflow system for subsurface simulation.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Vesselinov 2006 cmwr06 Uncertainties In Transient Capture-Zone Estimates.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/OMalley Vesselinov 2014 Analytical solutions for anomalous dispersion transport.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/agu20121209mads_ascem_big_splitted.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Vesselinov et al 2013 Data and Model-Driven Decision Support for Environmental Management of a Chromium Plume at Los Alamos National Laboratory.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Stanev et al 2018 Identification of release sources in advection-diffusion system by machine learning combined with Greens function inverse method.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Harp & Vesselinov 2013 Contaminant remediation decision analysis using information.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/omalley_biguq_LAUR_14-28376.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Mishra et al 2012 Leaky-unconfined aquifer AWR.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/Vesselinov 2018 Novel Machine Learning Methods for Extraction of Features Characterizing Datasets and Models LA-UR-18-31366.pdf</loc></url>
<url><loc>http://madsjulia.github.io/reports/LA-UR-08-5852-Paj_Cyn_IR.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Hansen et al Push-pull tracer tests their information content and use for characterizing non-Fickian, mobile-immobile behavior 2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Lu Vesselinov 2015 Analytical sensitivity analysis of transient groundwater flow in a bounded model domain using the adjoint method.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Zhang Vesselinov Energy-Water Nexus Balancing the Tradeoffs between Two-Level Decision Makers Applied Energy 2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Vesselinov et al 2018 Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/vesselinov wmsym2015_LANL_Cr_BIGDT_LA-UR-15-21965.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/omalley_tsallisentropy_LAUR_14-29018.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/OMalley Vesselinov 2015 Bayesian information gap decision theory with an application to CO2 sequestration.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Vesselinov & Harp 2012 Adaptive hybrid optimization strategy for calibration and parameter estimation of physical process models.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Zhang et al 2018 Two-Stage Fracturing Wastewater Management in Shale Gas Development.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/wmsym20130304splitanimations-LA-UR-13-21534.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Stanev et al 2018 Unsupervised phase mapping of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering.pdf</loc></url>
<url><loc>http://madsjulia.github.io/reports/LA-UR-08-4702-Fate&Trans_Cr_Sandia_Jul08.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/vesselinov LA-UR-06-2305 cmwr06 transeint capture zone 060622.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Alexandrov & Vesselinov 2014 Blind source separation for groundwater pressure analysis based on nonnegative matrix factorization.pdf</loc></url>
<url><loc>https://madsjulia.github.io/Mads.jl</loc><lastmod>2019-01-04T18:06:35+00:00</lastmod><image:image><image:loc>http://madsjulia.github.io/logo/mads_black_swan_logo.png</image:loc></image:image></url>
<url><loc>http://madsjulia.github.io/papers/Bakarji et al 2017 Agent-Based Socio-Hydrological Hybrid Modeling for Water Resource Management.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/vesselinov bss-agu2014-LA-UR-14-29163.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/vesselinov omalley MADS LA-UR-16-29120 agu2016.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/lin Hydraulic Inverse Modeling TV SIAM CSE 2017.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Vesselinov 2004 Estimation of parameter uncertainty using inverse model sensitivities.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Grasinger et al 2016 Decision analysis for robust CO2 injection: Application of Bayesian-Information-Gap Decision Theory.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Hansen et al 2018 Characterizing the impact of model error in hydrologic time series recovery inverse problems.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Vesselinov et al 2012 Agni - coupling model analysis tools and high-performance subsurface flow and transport simulators for risk and performance assessments.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/vesselinov LA-UR-08-0655 agu08 hydro tomography 20090203.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Vesselinov 2017 Contaminant source identification using semi-supervised machine learning.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Harp & Vesselinov 2012 abagus.pdf</loc></url>
<url><loc>http://madsjulia.github.io/presentations/OMalley et al 2017 Nonnegative binary matrix factorization with a D-Wave quantum annealer.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Morales et al 2010 MLBA serra.pdf</loc></url>
<url><loc>http://madsjulia.github.io/papers/Barajas et al 2015 Linear functional minimization for inverse modeling.pdf</loc></url>
<url><loc>http://madsjulia.github.io/Mads.jl</loc><lastmod>2019-01-04T18:06:35+00:00</lastmod><image:image><image:loc>http://madsjulia.github.io/logo/mads_black_swan_logo.png</image:loc></image:image></url>
<url><loc>http://madsjulia.github.io/.</loc><lastmod>2019-01-04T18:18:42+00:00</lastmod><image:image><image:loc>http://madsjulia.github.io/mads_logos/mads_white_swan_logo.png</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/images/dark.jpg</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/mads_logos/mads_white_swan_logo_big_text.png</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/logos/julia-logo.png</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/logos/cdt_logo_icon.png</image:loc></image:image></url>
<url><loc>https://madsjulia.github.io/.</loc><lastmod>2019-01-04T18:18:42+00:00</lastmod><image:image><image:loc>http://madsjulia.github.io/mads_logos/mads_white_swan_logo.png</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/images/dark.jpg</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/mads_logos/mads_white_swan_logo_big_text.png</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/logos/julia-logo.png</image:loc></image:image><image:image><image:loc>http://madsjulia.github.io/logos/cdt_logo_icon.png</image:loc></image:image></url>
<url><loc>https://madsjulia.github.io/papers/Zhang Vesselinov Energy-Water Nexus Balancing the Tradeoffs between Two-Level Decision Makers Applied Energy 2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Grasinger et al 2016 Decision analysis for robust CO2 injection: Application of Bayesian-Information-Gap Decision Theory.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Lin et al 2018 Randomization in Characterizing the Subsurface.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/vesselinov bss-agu2014-LA-UR-14-29163.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Vesselinov & Harp 2012 Adaptive hybrid optimization strategy for calibration and parameter estimation of physical process models.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/Leif_LM_presentation_m.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Lin et al 2017 Large-Scale Inverse Model Analyses Employing Fast Randomized Data Reduction.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Iliev et al 2018 Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Zhang et al 2018 Two-Stage Fracturing Wastewater Management in Shale Gas Development.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/vesselinov omalley MADS LA-UR-16-29120 agu2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/vesselinov LA-UR-06-2305 cmwr06 transeint capture zone 060622.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/agu20121209mads_ascem_big_splitted.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Hansen et al 2018 Direct Breakthrough Curve Prediction from Statistics of Heterogeneous Conductivity Fields.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Lin OMalley Vesselinov A computationally efficient parallel Levenberg-Marquardt algorithm for highly parameterized inverse model analyses 2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/Vesselinov 2018 Novel Machine Learning Methods for Extraction of Features Characterizing Datasets and Models LA-UR-18-31366.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/bakarji_socialdynamics_LAUR_14-24002.pdf</loc></url>
<url><loc>https://madsjulia.github.io/reports/LA-UR-08-5852-Paj_Cyn_IR.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/omalley_biguq_LAUR_14-28376.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Harp & Vesselinov 2013 Contaminant remediation decision analysis using information.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Vesselinov & Harp 2010 cmwr decision.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/OMalley Vesselinov 2014 A Combined Probabilistic Nonprobabilistic Decision Analysis for Contaminant Remediation.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Morales et al 2010 MLBA serra.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Throckmorton et al 2016 Active layer hydrology in an arctic tundra ecosystem quantifying water source and cycling using water stable isotopes.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/OMalley Vesselinov ToQ.jl A high-level programming language for D-Wave machines based on Julia 2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/lin Hydraulic Inverse Modeling TV SIAM CSE 2017.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Vesselinov et al 2013 Data and Model-Driven Decision Support for Environmental Management of a Chromium Plume at Los Alamos National Laboratory.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Stanev et al 2018 Unsupervised phase mapping of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Vesselinov 2004 Estimation of parameter uncertainty using inverse model sensitivities.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/OMalley Vesselinov 2014 Groundwater remediation using the information gap decision theory.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/wmsym20130304splitanimations-LA-UR-13-21534.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/vesselinov omalley Reduced Order Models for Decision Analysis and Upscaling of Aquifer Heterogeneity AGU 2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Harp & Vesselinov 2013 exp.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Zhang Vesselinov Integrated Modeling Approach for Optimal Management of Water, Energy and Food Security Nexus 2017.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Barajas et al 2015 Linear functional minimization for inverse modeling.pdf</loc></url>
<url><loc>https://madsjulia.github.io/reports/LA-UR-08-4702-Fate&Trans_Cr_Sandia_Jul08.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Lu et al 2018 Identifying arbitrary parameter zonation using multiple level set functions.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Freedman et al 2014 A high-performance workflow system for subsurface simulation.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Hansen et al Push-pull tracer tests their information content and use for characterizing non-Fickian, mobile-immobile behavior 2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/Vesselinov 2018 Novel Machine Learning Methods for Extraction of Features Characterizing Complex Datasets and Models LA-UR-18-30987.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Harp & Vesselinov 2010 gw.pdf</loc></url>
<url><loc>https://madsjulia.github.io/reports/LA-UR-05-6397 Decision Analysis-GWContaminants020106.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Harp et al 2008 GRL.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/zhang vesselinov Bi-Level Decision Making for Supporting Energy and Water Nexus AGU 2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Harp & Vesselinov 2012 geosampler.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Mishra et al 2012 Leaky-unconfined aquifer AWR.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Vesselinov et al 2012 Agni - coupling model analysis tools and high-performance subsurface flow and transport simulators for risk and performance assessments.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Hansen et al 2018 Characterizing the impact of model error in hydrologic time series recovery inverse problems.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Vrugt et al 2005 GRL.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Telfeyan et al 2018 Long-term stability of dithionite in alkaline anaerobic aqueous solution.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/LA-UR-12-22187 agni cmwr 20120614.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Morales_et_al_on_ALRS.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Vesselinov 2006 cmwr06 Uncertainties In Transient Capture-Zone Estimates.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/vesselinov ZEM LA-UR-16-21469 wmsym2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Qian et al 2018 Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Alexandrov & Vesselinov 2014 Blind source separation for groundwater pressure analysis based on nonnegative matrix factorization.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/zhiming et al Identifying Aquifer Heterogeneities using the Level Set Method AGU 2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Stanev et al 2018 Identification of release sources in advection-diffusion system by machine learning combined with Greens function inverse method.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/lin et al Hydraulic Inverse Modeling TV AGU 2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Hansen et al 2017 Inferring subsurface heterogeneity from push-drift tracer tests.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Vesselinov et al 2018 Nonnegative Tensor Factorization for Contaminant Source Identification.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Hansen et al 2017 CHROTRAN 1.0 A mathematical and computational model for in situ heavy metal remediation in heterogeneous aquifers.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/LANL EM Modeling 20100413.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Vesselinov et al 2018 Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/omalley_tsallisentropy_LAUR_14-29018.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Harp & Vesselinov 2012 abagus.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Bakarji et al 2017 Agent-Based Socio-Hydrological Hybrid Modeling for Water Resource Management.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/OMalley Vesselinov Cushman 2015 Diffusive mixing and Tsallis entropy.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Mishra et al 2012 Variable Rate GW.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/OMalley Vesselinov 2014 Analytical solutions for anomalous dispersion transport.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Mattis et al 2015 Parameter estimation and prediction for groundwatercontamination based on measure theory.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Hansen Vesselinov Contaminant point source localization error estimates as functions of data quantity and model quality 2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/vesselinov Decision Analyses for Groundwater Remediation LA-UR-17-21909 wmsym2017.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/vesselinov wmsym2015_LANL_Cr_BIGDT_LA-UR-15-21965.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Hansen et al 2018 Local Equilibrium and Retardation Revisited.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/OMalley Vesselinov 2015 Bayesian information gap decision theory with an application to CO2 sequestration.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/hansen et al Analysis of Hydrologic Time Series Reconstruction Uncertainty due to Inverse Model Inadequacy AGU 2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Mishra & Vesselinov 2011 Unified Analytical Solution for Radial Flow to a Well in a Confined Aquifer.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Lu Vesselinov 2015 Analytical sensitivity analysis of transient groundwater flow in a bounded model domain using the adjoint method.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/OMalley Vesselinov Cushman 2014 A Method for Identifying Diffusive Trajectories with Stochastic Models.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/vesselinov LA-UR-08-0655 agu08 hydro tomography 20090203.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/hansen et al Prediction of Breakthrough Curves for Conservative and Reactive Transport AGU 2016.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Vesselinov 2017 Contaminant source identification using semi-supervised machine learning.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/dharp_bb_2011_01.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Vrugt et al 2007 VZJ.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/OMalley et al 2017 Nonnegative:binary matrix factorization with a D-Wave quantum annealer.pdf</loc></url>
<url><loc>https://madsjulia.github.io/presentations/OMalley et al 2017 Nonnegative binary matrix factorization with a D-Wave quantum annealer.pdf</loc></url>
<url><loc>https://madsjulia.github.io/papers/Harp & Vesselinov 2010 SERRA.pdf</loc></url>
</urlset>