Michael D. Shields

United States

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Articles (20)

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Collaborators (8)

Bahador Bahmani

Assistant Professor

Northwestern University

UNITED STATES

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Lukas Novak

Brno University of Technology

CZECH REPUBLIC

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Benjamin Stamm

Professor

University of Stuttgart

GERMANY

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Bernd Markert

Institute Director, Professor

RWTH Aachen University

GERMANY

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Ketson dos Santos

Assistant Professor

University of Minnesota

UNITED STATES

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Dimitris Giovanis

Assistant Research Professor

Johns Hopkins University

UNITED STATES

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Václav Sadílek

Brno University of Technology

CZECH REPUBLIC

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Somdatta Goswami

Assistant Professor (Research)

Brown University

UNITED STATES

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Michael D. Shields

Research Interests

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Articles (20)

Intrepid MCMC: Metropolis-Hastings with exploration

Predicting fracture in disordered network materials using the local intelligent stress threshold indicator

Accelerating Hamiltonian Monte Carlo for Bayesian inference in neural networks and neural operators

UQpy Version 4.2: Uncertainty quantification with Python

Joint space–time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning

Neural chaos: A spectral stochastic neural operator

Covariance-Free Bifidelity Control Variates Importance Sampling for Rare Event Reliability Analysis

A resolution independent neural operator

Modulating higher-order statistics of turbulent boundary layer wind fields using randomized grid roughness

Synergistic learning with multi-task DeepONet for efficient PDE problem solving

On the influence of over-parameterization in manifold based surrogates and deep neural operators

Active learning-based domain adaptive localized polynomial chaos expansion

Deep transfer operator learning for partial differential equations under conditional shift

Grassmannian diffusion maps based surrogate modeling via geometric harmonics

Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation

Simulation of non-stationary and non-Gaussian random processes by 3rd-order Spectral Representation Method: Theory and POD implementation

Accelerated statistical failure analysis of multifidelity TRISO fuel models

Grassmannian Diffusion Maps--Based Dimension Reduction and Classification for High-Dimensional Data

Direct Simulation Methods for a Class of Normal and Lognormal Random Fields with Applications in Modeling Material Properties

A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems

Collaborators (8)

Bahador Bahmani

Lukas Novak

Benjamin Stamm

Bernd Markert

Ketson dos Santos

Dimitris Giovanis

Václav Sadílek

Somdatta Goswami

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