Accelerated subset simulation with neural networks for reliability analysis V Papadopoulos, DG Giovanis, ND Lagaros, M Papadrakakis Computer Methods in Applied Mechanics and Engineering 223, 70-80, 2012 | 220 | 2012 |
A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites X Lu, DG Giovanis, J Yvonnet, V Papadopoulos, F Detrez, J Bai Computational Mechanics 64, 307-321, 2019 | 157 | 2019 |
A neural network-based surrogate model for carbon nanotubes with geometric nonlinearities V Papadopoulos, G Soimiris, DG Giovanis, M Papadrakakis Computer Methods in Applied Mechanics and Engineering 328, 411-430, 2018 | 79 | 2018 |
UQpy: A general purpose Python package and development environment for uncertainty quantification A Olivier, DG Giovanis, BS Aakash, M Chauhan, L Vandanapu, ... Journal of Computational Science 47, 101204, 2020 | 71 | 2020 |
Bayesian updating with subset simulation using artificial neural networks DG Giovanis, I Papaioannou, D Straub, V Papadopoulos Computer Methods in Applied Mechanics and Engineering 319, 124-145, 2017 | 58 | 2017 |
Stochastic finite element methods: an introduction V Papadopoulos, DG Giovanis Springer, 2017 | 57 | 2017 |
A new perspective on the solution of uncertainty quantification and reliability analysis of large-scale problems G Stavroulakis, DG Giovanis, M Papadrakakis, V Papadopoulos Computer Methods in Applied Mechanics and Engineering 276, 627-658, 2014 | 47 | 2014 |
Spectral representation-based neural network assisted stochastic structural mechanics DG Giovanis, V Papadopoulos Engineering Structures 84, 382-394, 2015 | 44 | 2015 |
Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold DG Giovanis, MD Shields Computer Methods in Applied Mechanics and Engineering 370, 113269, 2020 | 43 | 2020 |
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems K Kontolati, D Loukrezis, DG Giovanis, L Vandanapu, MD Shields Journal of Computational Physics 464, 111313, 2022 | 33 | 2022 |
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models K Kontolati, D Loukrezis, KRM Dos Santos, DG Giovanis, MD Shields International Journal for Uncertainty Quantification 12 (4), 2022 | 32 | 2022 |
Epistemic uncertainty assessment using incremental dynamic analysis and neural networks DG Giovanis, M Fragiadakis, V Papadopoulos Bulletin of Earthquake Engineering 14, 529-547, 2016 | 25 | 2016 |
Subset simulation for problems with strongly non-Gaussian, highly anisotropic, and degenerate distributions MD Shields, DG Giovanis, VS Sundar Computers & Structures 245, 106431, 2021 | 24 | 2021 |
A GPU domain decomposition solution for spectral stochastic finite element method G Stavroulakis, DG Giovanis, V Papadopoulos, M Papadrakakis Computer Methods in Applied Mechanics and Engineering 327, 392-410, 2017 | 24 | 2017 |
Grassmannian Diffusion Maps--Based Dimension Reduction and Classification for High-Dimensional Data KR Dos Santos, DG Giovanis, MD Shields SIAM Journal on Scientific Computing 44 (2), B250-B274, 2022 | 18 | 2022 |
Uncertainty quantification for complex systems with very high dimensional response using Grassmann manifold variations DG Giovanis, MD Shields Journal of Computational Physics 364, 393-415, 2018 | 14 | 2018 |
Reliability analysis V Papadopoulos, DG Giovanis, V Papadopoulos, DG Giovanis Stochastic Finite Element Methods: An Introduction, 71-98, 2018 | 14 | 2018 |
Data-driven uncertainty quantification in computational human head models K Upadhyay, DG Giovanis, A Alshareef, AK Knutsen, CL Johnson, ... Computer methods in applied mechanics and engineering 398, 115108, 2022 | 12 | 2022 |
Uqpy v4. 1: Uncertainty quantification with python D Tsapetis, MD Shields, DG Giovanis, A Olivier, L Novak, P Chakroborty, ... SoftwareX 24, 101561, 2023 | 9 | 2023 |
Grassmannian diffusion maps based surrogate modeling via geometric harmonics KRM dos Santos, DG Giovanis, K Kontolati, D Loukrezis, MD Shields International Journal for Numerical Methods in Engineering 123 (15), 3507-3529, 2022 | 8 | 2022 |