| Non-intrusive surrogate modeling for parametrized time-dependent partial differential equations using convolutional autoencoders S Nikolopoulos, I Kalogeris, V Papadopoulos Engineering Applications of Artificial Intelligence 109, 104652, 2022 | 54* | 2022 |
| A Galerkin-based formulation of the probability density evolution method for general stochastic finite element systems V Papadopoulos, I Kalogeris Computational Mechanics 57, 701-716, 2016 | 49 | 2016 |
| A Stochastic FE2 Data-Driven Method for Nonlinear Multiscale Modeling X Lu, J Yvonnet, L Papadopoulos, I Kalogeris, V Papadopoulos Materials 14 (11), 2875, 2021 | 21 | 2021 |
| Diffusion maps‐based surrogate modeling: An alternative machine learning approach I Kalogeris, V Papadopoulos International Journal for Numerical Methods in Engineering 121 (4), 602-620, 2020 | 20 | 2020 |
| An extended finite element method formulation for modeling multi-phase boundary interactions in steady state heat conduction problems S Bakalakos, I Kalogeris, V Papadopoulos Composite Structures 258, 113202, 2021 | 19 | 2021 |
| A neural network-aided Bayesian identification framework for multiscale modeling of nanocomposites S Pyrialakos, I Kalogeris, G Sotiropoulos, V Papadopoulos Computer Methods in Applied Mechanics and Engineering 384, 113937, 2021 | 17 | 2021 |
| Interval and fuzzy physics-informed neural networks for uncertain fields JN Fuhg, I Kalogeris, A Fau, N Bouklas Probabilistic Engineering Mechanics 68, 103240, 2022 | 15 | 2022 |
| A computational framework for the indirect estimation of interface thermal resistance of composite materials using XPINNs L Papadopoulos, S Bakalakos, S Nikolopoulos, I Kalogeris, ... International Journal of Heat and Mass Transfer 200, 123420, 2023 | 13 | 2023 |
| Diffusion maps-aided Neural Networks for the solution of parametrized PDEs I Kalogeris, V Papadopoulos Computer Methods in Applied Mechanics and Engineering 376, 113568, 2021 | 13 | 2021 |
| Limit analysis of stochastic structures in the framework of the probability density evolution method I Kalogeris, V Papadopoulos Engineering Structures 160, 304-313, 2018 | 13 | 2018 |
| Machine learning accelerated transient analysis of stochastic nonlinear structures S Nikolopoulos, I Kalogeris, V Papadopoulos Engineering Structures 257, 114020, 2022 | 12 | 2022 |
| AI‐enhanced iterative solvers for accelerating the solution of large‐scale parametrized systems S Nikolopoulos, I Kalogeris, G Stavroulakis, V Papadopoulos International Journal for Numerical Methods in Engineering 125 (2), e7372, 2024 | 9 | 2024 |
| A spectral stochastic formulation for nonlinear framed structures V Papadopoulos, I Kalogeris, DG Giovanis Probabilistic Engineering Mechanics 55, 90-101, 2019 | 7 | 2019 |
| An integrated XFEM modeling with experimental measurements for optimizing thermal conductivity in carbon nanotube reinforced polyethylene S Bakalakos, I Kalogeris, V Papadopoulos, M Papadrakakis, P Maroulas, ... Modelling and Simulation in Materials Science and Engineering 30 (2), 025014, 2022 | 4 | 2022 |
| Stochastic optimization of carbon nanotube reinforced concrete for enhanced structural performance I Kalogeris, S Pyrialakos, O Kokkinos, V Papadopoulos Engineering with Computers 39 (4), 2927-2943, 2023 | 2 | 2023 |
| Multiscale analysis of nonlinear systems using a hierarchy of deep neural networks S Pyrialakos, I Kalogeris, V Papadopoulos International Journal of Solids and Structures 271, 112261, 2023 | 2 | 2023 |
| Advanced surrogate modeling and machine learning methods in computational stochastic mechanics I Kalogeris | 1 | 2020 |
| Cross-pollinating Quantum Computing and Machine Learning for the Solution of Parameterized Problems in Computational Science and Engineering K Atzarakis, I Kalogeris, G Stavroulakis, V Papadopoulos Preprints, 2023 | | 2023 |
| Multiscale Simulations of Carbon-Based Composites for the Design of Sustainable Automotive Parts K Margaronis, V Merevis, R Banerjee, I Kalogeris, P Mauri, A Mallick, ... International Stuttgart Symposium, 187-201, 2023 | | 2023 |
| AI-enhanced iterative solvers for accelerating the solution of large scale parametrized linear systems of equations S Nikolopoulosa, I Kalogerisa, V Papadopoulosa, G Stavroulakisa arXiv preprint arXiv:2207.02543, 2022 | | 2022 |
