Michael D. Shields 
- (2024): Reliability analysis of complex systems using subset simulations with Hamiltonian Neural Networks. In: Structural Safety, v. 109 (July 2024).
- (2023): General Multifidelity Surrogate Models: Framework and Active-Learning Strategies for Efficient Rare Event Simulation. In: Journal of Engineering Mechanics (ASCE), v. 149, n. 12 (December 2023).
- (2022): Direct Simulation Methods for a Class of Normal and Lognormal Random Fields with Applications in Modeling Material Properties. In: Journal of Engineering Mechanics (ASCE), v. 148, n. 2 (February 2022).
- (2021): Probabilistic Modeling of Discrete Structural Response with Application to Composite Plate Penetration Models. In: Journal of Engineering Mechanics (ASCE), v. 147, n. 11 (November 2021).
- (2021): Subset simulation for problems with strongly non-Gaussian, highly anisotropic, and degenerate distributions. In: Computers & Structures, v. 245 (March 2021).
- (2019): Advances in Simulation-Based Uncertainty Quantification and Reliability Analysis. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 5, n. 4 (December 2019).
- (2019): Reliability Analysis Using Adaptive Kriging Surrogates with Multimodel Inference. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 5, n. 2 (June 2019).
- (2015): Modeling strongly non-Gaussian non-stationary stochastic processes using the Iterative Translation Approximation Method and Karhunen–Loève expansion. In: Computers & Structures, v. 161 (December 2015).
- (2017): Topology optimization for linear stationary stochastic dynamics: Applications to frame structures. In: Structural Safety, v. 67 (July 2017).
- (2016): Surrogate-enhanced stochastic search algorithms to identify implicitly defined functions for reliability analysis. In: Structural Safety, v. 62 (September 2016).
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