| Quantum algorithm implementations for beginners PJ Coles, S Eidenbenz, S Pakin, A Adedoyin, J Ambrosiano, P Anisimov, ... arXiv, arXiv: 1804.03719, 2018 | 91 | 2018 |
| Understanding hydraulic fracturing: a multi-scale problem JD Hyman, J Jiménez-Martínez, HS Viswanathan, JW Carey, ML Porter, ... Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2016 | 77 | 2016 |
| Nonnegative/binary matrix factorization with a d-wave quantum annealer D O’Malley, VV Vesselinov, BS Alexandrov, LB Alexandrov PloS one 13 (12), e0206653, 2018 | 59 | 2018 |
| Active layer hydrology in an arctic tundra ecosystem: quantifying water sources and cycling using water stable isotopes HM Throckmorton, BD Newman, JM Heikoop, GB Perkins, X Feng, ... Hydrological Processes 30 (26), 4972-4986, 2016 | 45 | 2016 |
| Where does water go during hydraulic fracturing? D O'Malley, S Karra, RP Currier, N Makedonska, JD Hyman, ... Groundwater 54 (4), 488-497, 2016 | 43 | 2016 |
| Modeling flow and transport in fracture networks using graphs S Karra, D O'Malley, JD Hyman, HS Viswanathan, G Srinivasan Physical Review E 97 (3), 033304, 2018 | 39 | 2018 |
| Anomalous diffusion as modeled by a nonstationary extension of Brownian motion JH Cushman, D O’Malley, M Park Physical Review E 79 (3), 032101, 2009 | 36 | 2009 |
| Predictive modeling of dynamic fracture growth in brittle materials with machine learning BA Moore, E Rougier, D O’Malley, G Srinivasan, A Hunter, H Viswanathan Computational Materials Science 148, 46-53, 2018 | 34 | 2018 |
| Fickian dispersion is anomalous JH Cushman, D O’Malley Journal of Hydrology 531, 161-167, 2015 | 30 | 2015 |
| Multifidelity Monte Carlo estimation of variance and sensitivity indices E Qian, B Peherstorfer, D O'Malley, VV Vesselinov, K Willcox SIAM/ASA Journal on Uncertainty Quantification 6 (2), 683-706, 2018 | 27 | 2018 |
| Contaminant source identification using semi-supervised machine learning VV Vesselinov, BS Alexandrov, D O’Malley Journal of contaminant hydrology 212, 134-142, 2018 | 25 | 2018 |
| Fractional Brownian motion run with a nonlinear clock D O’Malley, JH Cushman Physical Review E 82 (3), 032102, 2010 | 24 | 2010 |
| An approach to quantum-computational hydrologic inverse analysis D O’Malley Scientific reports 8 (1), 1-9, 2018 | 23 | 2018 |
| Large‐scale inverse model analyses employing fast randomized data reduction Y Lin, EB Le, D O'Malley, VV Vesselinov, T Bui‐Thanh Water Resources Research 53 (8), 6784-6801, 2017 | 23 | 2017 |
| A renormalization group classification of nonstationary and/or infinite second moment diffusive processes D O’Malley, JH Cushman Journal of Statistical Physics 146 (5), 989-1000, 2012 | 21 | 2012 |
| Advancing graph‐based algorithms for predicting flow and transport in fractured rock HS Viswanathan, JD Hyman, S Karra, D O'Malley, S Srinivasan, ... Water Resources Research 54 (9), 6085-6099, 2018 | 19 | 2018 |
| Quantifying topological uncertainty in fractured systems using graph theory and machine learning G Srinivasan, JD Hyman, DA Osthus, BA Moore, D O’Malley, S Karra, ... Scientific reports 8 (1), 1-11, 2018 | 19 | 2018 |
| Groundwater remediation using the information gap decision theory D O'Malley, VV Vesselinov Water Resources Research 50 (1), 246-256, 2014 | 19 | 2014 |
| Theory and applications of macroscale models in porous media I Battiato, D O’Malley, CT Miller, PS Takhar, FJ Valdés-Parada, BD Wood Transport in Porous Media 130 (1), 5-76, 2019 | 18 | 2019 |
| Push‐pull tracer tests: Their information content and use for characterizing non‐F ickian, mobile‐immobile behavior SK Hansen, B Berkowitz, VV Vesselinov, D O'Malley, S Karra Water Resources Research 52 (12), 9565-9585, 2016 | 18 | 2016 |
Velimir V VesselinovComputational Earth Science, Earth Environmental Sciences, Los Alamos National Laboratory, USAVerified email at lanl.gov
