Articles with public access mandates - Apostolos PsarosLearn more
Available somewhere: 14
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons
AF Psaros, X Meng, Z Zou, L Guo, GE Karniadakis
Journal of Computational Physics 477, 111902, 2023
Mandates: US Department of Energy, US Department of Defense
Meta-learning PINN loss functions
AF Psaros, K Kawaguchi, GE Karniadakis
Journal of computational physics 458, 111121, 2022
Mandates: US Department of Defense
Sparse representations and compressive sampling approaches in engineering mechanics: A review of theoretical concepts and diverse applications
IA Kougioumtzoglou, I Petromichelakis, AF Psaros
Probabilistic Engineering Mechanics 61, 103082, 2020
Mandates: US National Science Foundation
Stochastic response determination and optimization of a class of nonlinear electromechanical energy harvesters: A Wiener path integral approach
I Petromichelakis, AF Psaros, IA Kougioumtzoglou
Probabilistic Engineering Mechanics 53, 116-125, 2018
Mandates: US National Science Foundation
Wiener path integral based response determination of nonlinear systems subject to non-white, non-Gaussian, and non-stationary stochastic excitation
AF Psaros, O Brudastova, G Malara, IA Kougioumtzoglou
Journal of Sound and Vibration 433, 314-333, 2018
Mandates: US National Science Foundation
Sparse representations and compressive sampling for enhancing the computational efficiency of the Wiener path integral technique
AF Psaros, IA Kougioumtzoglou, I Petromichelakis
Mechanical Systems and Signal Processing 111, 87-101, 2018
Mandates: US National Science Foundation
Wiener path integrals and multi-dimensional global bases for non-stationary stochastic response determination of structural systems
AF Psaros, I Petromichelakis, IA Kougioumtzoglou
Mechanical Systems and Signal Processing 128, 551-571, 2019
Mandates: US National Science Foundation
Stochastic response determination of nonlinear structural systems with singular diffusion matrices: A Wiener path integral variational formulation with constraints
I Petromichelakis, AF Psaros, IA Kougioumtzoglou
Probabilistic Engineering Mechanics 60, 103044, 2020
Mandates: US National Science Foundation
Stochastic response analysis and reliability-based design optimization of nonlinear electromechanical energy harvesters with fractional derivative elements
I Petromichelakis, AF Psaros, IA Kougioumtzoglou
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2021
Mandates: US National Science Foundation
An exact closed-form solution for linear multi-degree-of-freedom systems under Gaussian white noise via the Wiener path integral technique
AF Psaros, Y Zhao, IA Kougioumtzoglou
Probabilistic Engineering Mechanics 60, 103040, 2020
Mandates: US National Science Foundation
Functional series expansions and quadratic approximations for enhancing the accuracy of the Wiener path integral technique
AF Psaros, IA Kougioumtzoglou
Journal of Engineering Mechanics 146 (7), 04020065, 2020
Mandates: US National Science Foundation
Uncertainty quantification of nonlinear system stochastic response estimates based on the Wiener path integral technique: A Bayesian compressive sampling treatment
MI Katsidoniotaki, AF Psaros, IA Kougioumtzoglou
Probabilistic Engineering Mechanics 67, 103193, 2022
Mandates: US National Science Foundation
A Wiener path integral formalism for treating nonlinear systems with non-Markovian response processes
IG Mavromatis, AF Psaros, IA Kougioumtzoglou
Journal of Engineering Mechanics 149 (1), 04022092, 2023
Mandates: US National Science Foundation
A quadratic Wiener path integral approximation for stochastic response determination of multi-degree-of-freedom nonlinear systems
Y Zhao, AF Psaros, I Petromichelakis, IA Kougioumtzoglou
Probabilistic Engineering Mechanics 69, 103319, 2022
Mandates: US National Science Foundation, National Natural Science Foundation of China
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