V. Vesselinov

发表

Inverse Modeling of Subsurface Flow and Transport Properties: A Review with New Developments

J. Vrugt, B. Robinson, P. Stauffer, 2008 .

Two-Stage Fracturing Wastewater Management in Shale Gas Development

Xiaodong Zhang, A. Sun, I. Duncan, 2017 .

Integrated modeling approach for optimal management of water, energy and food security nexus

Xiaodong Zhang, V. Vesselinov, 2017 .

Contaminant source identification using semi-supervised machine learning.

D. O'Malley, V. Vesselinov, B. Alexandrov, 2017, Journal of contaminant hydrology.

Nonnegative tensor factorization for contaminant source identification.

D. O'Malley, V. Vesselinov, B. Alexandrov, 2019, Journal of contaminant hydrology.

Analysis of hydrogeological structure uncertainty by estimation of hydrogeological acceptance probability of geostatistical models

Velimir V. Vesselinov, Dylan R. Harp, V. Vesselinov, 2012 .

Direct Breakthrough Curve Prediction From Statistics of Heterogeneous Conductivity Fields

V. Vesselinov, O. Cirpka, C. Haslauer, 2018 .

A Method for Identifying Diffusive Trajectories with Stochastic Models

J. H. Cushman, D. O'Malley, V. Vesselinov, 2014 .

Large‐scale inverse model analyses employing fast randomized data reduction

Velimir V. Vesselinov, Tan Bui-Thanh, Ellen B. Le, 2017 .

Blind source separation for groundwater pressure analysis based on nonnegative matrix factorization

Velimir V. Vesselinov, Boian S. Alexandrov, V. Vesselinov, 2014 .

Parameter estimation and prediction for groundwater contamination based on measure theory

Donald Estep, Velimir V. Vesselinov, Troy Butler, 2015 .

Analytical sensitivity analysis of transient groundwater flow in a bounded model domain using the adjoint method

Velimir V. Vesselinov, Zhiming Lu, Zhiming Lu, 2015 .

Bayesian‐information‐gap decision theory with an application to CO2 sequestration

V. V. Vesselinov, V. Vesselinov, D. O’Malley, 2015 .

Linear functional minimization for inverse modeling

Daniel M. Tartakovsky, Brendt Wohlberg, David A. Barajas-Solano, 2015 .

Local Equilibrium and Retardation Revisited

V. Vesselinov, S. K. Hansen, 2017, Ground water.

CHROTRAN: A mathematical and computational model for in situ heavy metal remediation in heterogeneous aquifers

S. Karra, V. Vesselinov, S. K. Hansen, 2017, 1703.01381.

Inferring subsurface heterogeneity from push‐drift tracer tests

P. Reimus, Zhiming Lu, V. Vesselinov, 2017, 1704.05157.

Push‐pull tracer tests: Their information content and use for characterizing non‐Fickian, mobile‐immobile behavior

D. O'Malley, S. Karra, B. Berkowitz, 2016 .

Analytical solutions for anomalous dispersion transport

Velimir V. Vesselinov, Daniel O'Malley, D. O'Malley, 2014 .

Three‐dimensional numerical inversion of pneumatic cross‐hole tests in unsaturated fractured tuff: 2. Equivalent parameters, high‐resolution stochastic imaging and scale effects

S. P. Neuman, W. Illman, V. Vesselinov, 2001 .

Maximum likelihood Bayesian averaging of air flow models in unsaturated fractured tuff

S. P. Neuman, V. Vesselinov, E. Morales-Casique, 2008 .

Numerical Inverse Interpretation of Single‐Hole Pneumatic Tests in Unsaturated Fractured Tuff

S. P. Neuman, V. Vesselinov, 2001, Ground water.

An Investigation of Numerical Grid Effects in Parameter Estimation

George A Zyvoloski, Velimir V Vesselinov, G. Zyvoloski, 2006, Ground water.

Coupling Basin‐ and Site‐Scale Inverse Models of the Espanola Aquifer

Zhiming Lu, Velimir V Vesselinov, Zhiming Lu, 2003, Ground water.

Integration of geologic framework in meshing and setup of computational hydrogeologic models, Pajarito Plateau, New Mexico

C. Gable, V. Vesselinov, K. Birdsell, 2007, Geology of the Jemez Region II.

Development and Application of Numerical Models to Estimate Fluxes through the Regional Aquifer beneath the Pajarito Plateau

B. Robinson, E. Keating, V. Vesselinov, 2005 .

CHROTRAN 1.0: A mathematical and computational model for in situ heavy metal remediation in heterogeneous aquifers

S. Karra, V. Vesselinov, S. K. Hansen, 2017 .

Three-dimensional inverse modelling of pneumatic tests in unsaturated fractured rocks.

S. P. Neuman, W. Illman, V. Vesselinov, 2000 .

Stochastic inverse method for estimation of geostatistical representation of hydrogeologic stratigraphy using borehole logs and pressure observations

V. Vesselinov, D. Harp, 2010 .

Fate and transport of hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) and its degradation products in sedimentary and volcanic rocks, Los Alamos, New Mexico.

G. Woldegabriel, V. Vesselinov, G. Perkins, 2017, Chemosphere.

Nonequilibrium Statistical Mechanics of Optimally Predicting Partially Observed Complex Systems

J. Crutchfield, A. Rupe, V. Vesselinov, 2022 .

Characterizing the impact of model error in hydrologic time series recovery inverse problems

V. Vesselinov, S. K. Hansen, Jiachuan He, 2017, 1703.03090.

Machine Learning and Shallow Groundwater Chemistry to Identify Geothermal Prospects in the Great Basin, USA

V. Vesselinov, B. Ahmmed, 2022, SSRN Electronic Journal.

Characterizing Drought Behavior in the Colorado River Basin Using Unsupervised Machine Learning

K. Bennett, V. Vesselinov, C. Talsma, 2022, Earth and Space Science.

Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering

V. Vesselinov, M. Mudunuru, B. Ahmmed, 2022, Geothermics.

Nonequilibrium statistical mechanics and optimal prediction of partially-observed complex systems

J. Crutchfield, A. Rupe, V. Vesselinov, 2022, New Journal of Physics.

GeoThermalCloud: Machine Learning for Geothermal Resource Exploration

V. Vesselinov, M. Mudunuru, B. Ahmmed, 2022, Journal of Machine Learning for Modeling and Computing.

Robust decision analysis for environmental management of groundwater contamination sites

D. O'Malley, V. Vesselinov, D. Katzman, 2013, 1311.6014.

Long-term stability of dithionite in alkaline anaerobic aqueous solution

V. Vesselinov, S. Pandey, K. Telfeyan, 2019, Applied Geochemistry.

Nonnegative/Binary matrix factorization with a D-Wave quantum annealer

Velimir V. Vesselinov, Ludmil B. Alexandrov, Boian S. Alexandrov, 2017, PloS one.

Machine learning to discover mineral trapping signatures due to CO2 injection

S. Karra, V. Vesselinov, M. Mudunuru, 2021, International Journal of Greenhouse Gas Control.

Machine learning to identify geologic factors associated with production in geothermal fields: a case-study using 3D geologic data, Brady geothermal field, Nevada

V. Vesselinov, M. Mudunuru, B. Ahmmed, 2021, Geothermal Energy.

Augmenting geophysical interpretation of data-driven operational water supply forecast modeling for a western US river using a hybrid machine learning approach

Velimir V. Vesselinov, Sean W. Fleming, Angus G. Goodbody, 2021, Journal of Hydrology.

Machine-learning predictions of the shale wells’ performance

Q. Kang, H. Viswanathan, R. Middleton, 2021 .

Unsupervised Machine Learning for Analysis of Phase Separation in Ternary Lipid Mixture.

S. Gnanakaran, Cesar A. López, Cesar A. Löpez, 2019, Journal of chemical theory and computation.

Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers

Velimir V. Vesselinov, Boian S. Alexandrov, Valentin Stanev, 2019, Stat. Anal. Data Min..

Unsupervised Machine Learning for Analysis of Coexisting Lipid Phases and Domain Growth in Biological Membranes

Velimir V. Vesselinov, Sandrasegaram Gnanakaran, Boian S. Alexandrov, 2019, bioRxiv.

Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing

Satish Karra, Maruti Kumar Mudunuru, Velimir V. Vesselinov, 2018, J. Comput. Phys..

Identification of release sources in advection–diffusion system by machine learning combined with Green’s function inverse method

Velimir V. Vesselinov, Boian S. Alexandrov, Valentin Stanev, 2018, Applied Mathematical Modelling.

Unsupervised phase mapping of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering

Ichiro Takeuchi, Velimir V. Vesselinov, Boian S. Alexandrov, 2018, npj Computational Materials.

Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals

Filip L Iliev, Valentin G Stanev, Velimir V Vesselinov, 2016, PloS one.

Machine learning approach for identification of release sources in advection-diffusion systems pdf

Velimir V. Vesselinov, Boian S. Alexandrov, Filip L. Iliev, 2016, ArXiv.

Sources identification using shifted non-negative matrix factorization combined with semi-supervised clustering

Filip L. Iliev, V. Vesselinov, B. Alexandrov, 2016, ArXiv.

Adaptive hybrid optimization strategy for calibration and parameter estimation of physical process models

Velimir V. Vesselinov, Dylan R. Harp, V. Vesselinov, 2011, Comput. Geosci..

Parameter Estimation and Uncertainty Quantification in Water Resources Modeling

P. Renard, D. Tartakovsky, V. Vesselinov, 2020, Frontiers Research Topics.

Machine Learning to Characterize the State of Stress and its Influence on Geothermal Production

L. Frash, V. Vesselinov, M. Mudunuru, 2022 .

Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices

Benjamin Peherstorfer, Velimir V. Vesselinov, Karen Willcox, 2018, SIAM/ASA J. Uncertain. Quantification.

Three‐dimensional numerical inversion of pneumatic cross‐hole tests in unsaturated fractured tuff: 1. Methodology and borehole effects

Velimir V. Vesselinov, S. P. Neuman, Shlomo P. Neuman, 2001 .

Analysis of model sensitivity and predictive uncertainty of capture zones in the Española basin regional aquifer, northern New Mexico

Elizabeth H. Keating, George A. Zyvoloski, Velimir V. Vesselinov, 2002 .

Learning to regularize with a variational autoencoder for hydrologic inverse analysis pdf

Daniel O'Malley, Velimir V. Vesselinov, John K. Golden, 2019, ArXiv.

Isotopic evidence for reduction of anthropogenic hexavalent chromium in Los Alamos National Laboratory groundwater

Velimir V. Vesselinov, Mei Ding, Kay H. Birdsell, 2014 .

Characterization of Extreme Hydroclimate Events in Earth System Models using ML/AI

K. Bennett, S. Karra, V. Vesselinov, 2021 .

Enhanced heap leaching -- Part 2: applications

S. Orr, V. Vesselinov, V. Vesselinov, 2002 .

Groundwater remediation using the information gap decision theory

Velimir V. Vesselinov, Daniel O'Malley, V. Vesselinov, 2014 .

Contaminant remediation decision analysis using information gap theory

Velimir V. Vesselinov, Dylan R. Harp, V. Vesselinov, 2011, Stochastic Environmental Research and Risk Assessment.

Contaminant point source localization error estimates as functions of data quantity and model quality.

Velimir V Vesselinov, Scott K Hansen, V. Vesselinov, 2016, Journal of contaminant hydrology.

Theoretical interpretation of a pronounced permeability scale effect in unsaturated fractured tuff

Daniel M. Tartakovsky, Velimir V. Vesselinov, Vittorio Di Federico, 2002 .

Contaminant source identification using adaptive hybrid optimization of inverse groundwater transport model

Velimir V. Vesselinov, Dylan R. Harp, V. Vesselinov, 2010 .

Decision analysis for robust CO 2 injection: Application of Bayesian-Information-Gap Decision Theory

Velimir V. Vesselinov, Matthew Grasinger, Satish Karra, 2015 .

Active layer hydrology in an arctic tundra ecosystem: quantifying water sources and cycling using water stable isotopes

S. Wullschleger, V. Vesselinov, G. Perkins, 2016 .

Improved inverse modeling for flow and transport in subsurface media: Combined parameter and state estimation

Velimir V. Vesselinov, Jasper A. Vrugt, Bruce A. Robinson, 2005 .

Diffusive mixing and Tsallis entropy.

J. H. Cushman, V. Vesselinov, D. O’Malley, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

A Method for Identifying Diffusive Trajectories with Stochastic Models

J. H. Cushman, V. Vesselinov, D. O’Malley, 2014 .

Energy-water nexus: Balancing the tradeoffs between two-level decision makers

Velimir V. Vesselinov, Xiaodong Zhang, Xiaodong Zhang, 2016 .

Identification of Pumping Influences in Long‐Term Water Level Fluctuations

Velimir V Vesselinov, Dylan R Harp, V. Vesselinov, 2011, Ground water.

Maximum likelihood Bayesian averaging of airflow models in unsaturated fractured tuff using Occam and variance windows

Velimir V. Vesselinov, S. P. Neuman, Shlomo P. Neuman, 2010 .

An agent-based approach to global uncertainty and sensitivity analysis

Velimir V. Vesselinov, Dylan R. Harp, V. Vesselinov, 2012, Comput. Geosci..

Geostatistical, type-curve, and inverse analyses of pneumatic injection tests in unsaturated fractured tuffs at the apache leap research site near superior, Arizona

Guoliang Chen, Velimir V. Vesselinov, S. P. Neuman, 2013 .

Accounting for the influence of aquifer heterogeneity on spatial propagation of pumping drawdown

V. Vesselinov, D. Harp, 2011, 1108.3974.

Strong evidence for permeability scale effect in fractured rock

S. P. Neuman, W. Illman, V. Vesselinov, 2003 .

Agent-Based Socio-Hydrological Hybrid Modeling for Water Resource Management

Velimir V. Vesselinov, Daniel O’Malley, Joseph Bakarji, 2017, Water Resources Management.

A Computationally Efficient Parallel Levenberg-Marquardt Algorithm for Large-Scale Big-Data Inversion

Youzuo Lin, V. V. Vesselinov, D. O'Malley, 2015 .

ToQ.jl: A high-level programming language for D-Wave machines based on Julia

Velimir V. Vesselinov, Daniel O'Malley, V. Vesselinov, 2016, 2016 IEEE High Performance Extreme Computing Conference (HPEC).

A computationally efficient parallel Levenberg‐Marquardt algorithm for highly parameterized inverse model analyses

Velimir V. Vesselinov, Daniel O'Malley, Youzuo Lin, 2016 .

Identifying arbitrary parameter zonation using multiple level set functions

Velimir V. Vesselinov, Hongzhuan Lei, Zhiming Lu, 2018, J. Comput. Phys..

hybrid optimization

V. Vesselinov, D. Harp, 2012 .

A high-performance workflow system for subsurface simulation

George Shu Heng Pau, Stefan Finsterle, Ian Gorton, 2014, Environ. Model. Softw..

Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals

Filip L. Iliev, V. Vesselinov, B. Alexandrov, 2016, PloS one.

Discovering the Hidden Geothermal Signatures of Southwest New Mexico

R. Middleton, S. Karra, V. Vesselinov, 2021 .

Non-negative Tensor Factorization for Robust Exploratory Big-Data Analytics

Hristo Djidjev, Velimir V. Vesselinov, Boian S. Alexandrov, 2018 .

MACHINE LEARNING TO CHARACTERIZE REGIONAL GEOTHERMAL RESERVOIRS IN THE WESTERN USA

V. Vesselinov, M. Mudunuru, B. Ahmmed, 2020 .

Data and Model-Driven Decision Support for Environmental Management of a Chromium Plume at Los Alamos National Laboratory - 13264

Velimir V. Vesselinov, Dylan R. Harp, Kay H. Birdsell, 2013 .

Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices ACDL TR-2017-2

K. Willcox, V. Vesselinov, D. O’Malley, 2017 .

Identification of Pumping Influences in Long‐Term Water Level Fluctuations

V. Vesselinov, D. Harp, 2011, Ground water.

Radial flow to a partially penetrating well with storage in an anisotropic confined aquifer

S. P. Neuman, V. Vesselinov, P. Mishra, 2012 .

Unified Analytical Solution for Radial Flow to a Well in a Confined Aquifer

V. Vesselinov, P. Mishra, 2011, 1110.5940.

Aquifer structure identification using stochastic inversion

Velimir V. Vesselinov, Dylan R. Harp, Jasper A. Vrugt, 2008 .

Physics-Informed Machine Learning for Real-time Reservoir Management

Satish Karra, Jeffrey D. Hyman, Hari S. Viswanathan, 2020, AAAI Spring Symposium: MLPS.