Daniel O'Malley

Alıntı yapanlar

	Hepsi	2020 yılından bugüne
Alıntılar	3198	2542
h-endeksi	30	27
i10-endeksi	74	61

620

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465

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85 makale

6 makale

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Hari ViswanathanSenior Scientist, Los Alamos National Laboratorylanl.gov üzerinde doğrulanmış e-posta adresine sahip
Velimir V Vesselinov ("monty")SmartTensors LLC, Santa Fe, New Mexico, USAsmarttensors.com üzerinde doğrulanmış e-posta adresine sahip
Jeffrey HymanEES- 16, Los Alamos National Laboratorylanl.gov üzerinde doğrulanmış e-posta adresine sahip
john cushmanpurduepurdue.edu üzerinde doğrulanmış e-posta adresine sahip
John GoldenLos Alamos National Lablanl.gov üzerinde doğrulanmış e-posta adresine sahip
Teeratorn KadeethumSandia National Laboratoriessandia.gov üzerinde doğrulanmış e-posta adresine sahip
Boian S. AlexandrovTheoretical Division, Los Alamos National Lablanl.gov üzerinde doğrulanmış e-posta adresine sahip
Shriram SrinivasanApplied Mathematics Group (T-5), Theoretical Division, Los Alamos National Laboratorylanl.gov üzerinde doğrulanmış e-posta adresine sahip
Maruti Kumar MudunuruPacific Northwest National Laboratorypnnl.gov üzerinde doğrulanmış e-posta adresine sahip
Stephan EidenbenzComputer Science, Los Alamos National Laboratorylanl.gov üzerinde doğrulanmış e-posta adresine sahip
Hongkyu Yoonsandia national laboratoriessandia.gov üzerinde doğrulanmış e-posta adresine sahip
Youngsoo ChoiResearch Scientist, LLNLllnl.gov üzerinde doğrulanmış e-posta adresine sahip
Luke FrashLos Alamos National Laboratorylanl.gov üzerinde doğrulanmış e-posta adresine sahip
Abigail HunterLos Alamos National Laboratorylanl.gov üzerinde doğrulanmış e-posta adresine sahip
Andreas BärtschiScientist, Los Alamos National Laboratorylanl.gov üzerinde doğrulanmış e-posta adresine sahip
Moongyu ParkPurdue Universitypurdue.edu üzerinde doğrulanmış e-posta adresine sahip
Nikolaos BouklasAssociate Professor, Cornell Universitycornell.edu üzerinde doğrulanmış e-posta adresine sahip
Nataliia MakedonskaScientist at Los Alamos National Laboratorylanl.gov üzerinde doğrulanmış e-posta adresine sahip
Dylan HarpThe Freshwater Trustthefreshwatertrust.org üzerinde doğrulanmış e-posta adresine sahip
Aric HagbergLos Alamos National Laboratorylanl.gov üzerinde doğrulanmış e-posta adresine sahip

Takip et

Daniel O'Malley

Los Alamos National Laboratory

lanl.gov üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

applied mathematics machine learning computational science quantum computing


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Quantum algorithm implementations for beginners PJ Coles, S Eidenbenz, S Pakin, A Adedoyin, J Ambrosiano, P Anisimov, ... arXiv, arXiv: 1804.03719, 2018	337*	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	162	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	153	2018
Theory and applications of macroscale models in porous media I Battiato, PT Ferrero V, D O’Malley, CT Miller, PS Takhar, ... Transport in Porous Media 130, 5-76, 2019	104	2019
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	97	2018
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks T Kadeethum, D O’Malley, JN Fuhg, Y Choi, J Lee, HS Viswanathan, ... Nature Computational Science 1 (12), 819-829, 2021	95	2021
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	94	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	92	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	89	2018
Where does water go during hydraulic fracturing? D O'Malley, S Karra, RP Currier, N Makedonska, JD Hyman, ... Groundwater 54 (4), 488-497, 2016	73	2016
Contaminant source identification using semi-supervised machine learning VV Vesselinov, BS Alexandrov, D O’Malley Journal of contaminant hydrology 212, 134-142, 2018	72	2018
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques T Kadeethum, F Ballarin, Y Choi, D O’Malley, H Yoon, N Bouklas Advances in Water Resources 160, 104098, 2022	67	2022
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), 11665, 2018	61	2018
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	55	2018
Reduced-order modeling through machine learning and graph-theoretic approaches for brittle fracture applications A Hunter, BA Moore, M Mudunuru, V Chau, R Tchoua, C Nyshadham, ... Computational Materials Science 157, 87-98, 2019	53	2019
Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing VV Vesselinov, MK Mudunuru, S Karra, D O'Malley, BS Alexandrov Journal of Computational Physics 395, 85-104, 2019	52	2019
Toq. jl: A high-level programming language for d-wave machines based on julia D O'Malley, VV Vesselinov 2016 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2016	51	2016
Reverse annealing for nonnegative/binary matrix factorization J Golden, D O’Malley Plos one 16 (1), e0244026, 2021	49	2021
Anomalous diffusion as modeled by a nonstationary extension of Brownian motion JH Cushman, D O’Malley, M Park Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 79 (3 …, 2009	49	2009
On the feasibility of using physics-informed machine learning for underground reservoir pressure management DR Harp, D O’Malley, B Yan, R Pawar Expert Systems with Applications 178, 115006, 2021	46	2021

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