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Michael D. Shields

Johns Hopkins University

46H-index
272Paper Count
9.4KCitation Count
Published Papers 81
Publication Date
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Active machine learning to control second-order statistical characteristics of flow fields in boundary layer wind tunnel experiments
errJournal of Wind Engineering and Industrial Aerodynamics
IF4.9
err2026-09-10
err0
PREAI
errMohit S. Chauhan; Mariel Ojeda-Tuz; Ryan A. Catarelli; Kurtis R. Gurley; Michael D. Shields
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A stochastic hierarchical multiscale modeling framework for heterogeneous materials
errJournal of Computational Science
IF3.7
err2026-09-02
err0
PREAI
errCornelius Otchere; George Soimoiris; Kenneth Leiter; Jaroslaw Knap; Michael Shields
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Physics-informed polynomial chaos expansion with enhanced constrained optimization solver and D-optimal sampling
errProbabilistic Engineering Mechanics
IF3.5
err2026-07-01
err0
PREAI
errLu, Qitian; Sharma, Himanshu; Shields, Michael D.; Novak, Lukas
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Merging the classical and the modern in physics-based simulations
errNature Computational Science
IF18.3
err2026-04-28
err0
PREAI
errMichael D. Shields; Somdatta Goswami
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Polynomial chaos expansion for operator learning
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2026-02-12
err0
PREAI
errHimanshu Sharma; Lukáš Novák; Michael Shields
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Intrepid MCMC: Metropolis-Hastings with exploration
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2025-09-25
err0
PREAI
errPromit Chakroborty; Michael D. Shields
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Neural operators for stochastic modeling of nonlinear structural system response to natural hazards
errEngineering Structures
IF6.4
err2025-09-25
err0
PREAI
errSomdatta Goswami; Dimitris G. Giovanis; Bowei Li; Seymour M.J. Spence; Michael D. Shields
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Accelerating Hamiltonian Monte Carlo for Bayesian inference in neural networks and neural operators
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2025-09-21
err0
PREAI
errPonkrshnan Thiagarajan; Tamer A. Zaki; Michael D. Shields
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Predicting fracture in disordered network materials using the local intelligent stress threshold indicator
errCommunications Physics
IF5.8
err2025-09-18
err0
errOAAI
errBhagyashri Bachhav; Zhao Wu; Bernd Markert; Benjamin Stamm; Michael D. Shields; Michael L. Falk; Franz Bamer
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Joint space–time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning
errMechanical Systems and Signal Processing
IF8.9
err2025-09-17
err0
PREAI
errGeorge D. Pasparakis; Ioannis A. Kougioumtzoglou; Michael D. Shields
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UQpy Version 4.2: Uncertainty quantification with Python
errSOFTWAREX
IF2.4
err2025-09-01
err0
errOAAI
errKrill, Connor; Thiagarajan, Ponkrshnan; Pasparakis, George D.; Goswami, Somdatta; Tsapetis, Dimitrios; Giovanis, Dimitris G.; Shields, Michael D.
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Neural chaos: A spectral stochastic neural operator
errJournal of Computational Physics
IF3.8
err2025-07-15
err0
PREAI
errBahador Bahmani; Ioannis G. Kevrekidis; Michael D. Shields
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A resolution independent neural operator
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2025-06-11
err0
PREAI
errBahador Bahmani; Somdatta Goswami; Ioannis G. Kevrekidis; Michael D. Shields
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Synergistic learning with multi-task DeepONet for efficient PDE problem solving
errNEURAL NETWORKS
IF6.3
err2025-04-01
err0
PREAI
errKumar, Varun; Goswami, Somdatta; Kontolati, Katiana; Shields, Michael D.; Karniadakis, George Em
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The Spectral Representation Method: A framework for simulation of stochastic processes, fields, and waves
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2025-02-01
err0
PREAI
errDeodatis, George; Shields, Michael
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Bayesian neural networks for predicting uncertainty in full-field material response
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2025-01-01
err0
errOAAI
errPasparakis, George D.; Graham-Brady, Lori; Shields, Michael D.
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Accelerating uncertainty quantification in incremental dynamic analysis using dimension reduction-based surrogate modeling
errBULLETIN OF EARTHQUAKE ENGINEERING
IF4.1
err2024-12-11
err0
PREAI
errGiovanis, Dimitris G.; Taflanidis, Alexandros; Shields, Michael D.
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Polynomial chaos expansions on principal geodesic Grassmannian submanifolds for surrogate modeling and uncertainty
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-12-01
err0
PREAI
errGiovanis, Dimitris G.; Loukrezis, Dimitrios; Kevrekidis, Ioannis G.; Shields, Michael D.
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Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-11-01
err1
errOAAI
errSharma, Himanshu; Novak, Lukas; Shields, Michael
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Reliability analysis of complex systems using subset simulations with Hamiltonian Neural Networks
errSTRUCTURAL SAFETY
IF6.3
err2024-07-01
err0
errOAAI
errThaler, Denny; Dhulipala, Somayajulu L. N.; Bamer, Franz; Markert, Bernd; Shields, Michael D.
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Research Directions

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Co-authors
Cooperation Journals
J
John W. Hutchinson
H-index: 134 · Papers: 534
G
George Em Karniadakis
H-index: 130 · Papers: 1.3K
F
Frank Kee
H-index: 88 · Papers: 888
J
John W. Gillespie
H-index: 70 · Papers: 484
K
K.T. Ramesh
H-index: 70 · Papers: 470
View more