Andrés Arcones, Daniel;Weiser, Martin;Koutsourelakis, Phaedon‐Stelios;Unger, Jörg F.
Model Bias Identification for Bayesian Calibration of Stochastic Digital Twins of Bridges
Applied Stochastic Models in Business and Industry
2024

Agrawal, Atul;Tamsen, Erik;Unger, Jörg F.;Koutsourelakis, Phaedon-Stelios
From concrete mixture to structural design—a holistic optimization procedure in the presence of uncertainties
Data-Centric Engineering
2024
5

Agrawal, Atul;Koutsourelakis, Phaedon-Stelios
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty
Journal of Computational Physics
2024
508
112982

Arcones, Daniel Andrés;Weiser, Martin;Koutsourelakis, Faidon-Stelios;Unger, Jörg F.
EVALUATION OF MODEL BIAS IDENTIFICATION APPROACHES BASED ON BAYESIAN INFERENCE AND APPLICATIONS TO DIGITAL TWINS
Cited by: 0
National Technical University of Athens
2023

Arcones, Daniel Andrés;Weiser, Martin;Koutsourelakis, Faidon‐Stelios;Unger, Jörg F.
A Bayesian Framework for Simulation‐based Digital Twins of Bridges
ce/papers
2023
6
5
734-740

Siddiqui, Gohar Ali;Stebani, Julia A.;Wragg, Darren;Koutsourelakis, Phaedon‐Stelios;Casini, Angela;Gagliardi, Alessio
Application of Machine Learning Algorithms to Metadynamics for the Elucidation of the Binding Modes and Free Energy Landscape of Drug/Target Interactions: a Case Study
Chemistry – A European Journal
2023

Kaltenbach, Sebastian;Perdikaris, Paris;Koutsourelakis, Phaedon-Stelios
Semi-supervised invertible neural operators for Bayesian inverse problems
Computational Mechanics
2023
72
3
451-470

Siddiqui, Gohar;Stebani, Julia;Wragg, Darren;Koutsourelakis, Phaedon-Stelios;Casini, Angela;Gagliardi, Alessio
Application of Machine Learning Algorithms to Metadynamics for the Elucidation of the Binding Modes and Free Energy Landscape of Drug/Target Interactions: a Case Study
Chemistry – A European Journal
2023

Nitzler, Jonas;Biehler, Jonas;Fehn, Niklas;Koutsourelakis, Phaedon-Stelios;Wall, Wolfgang A.
A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations
Computer Methods in Applied Mechanics and Engineering
2022
400
115600

Coelho Lima, Isabela;Robens-Radermacher, Annika;Titscher, Thomas;Kadoke, Daniel;Koutsourelakis, Phaedon-Stelios;Unger, Jörg F.
Bayesian inference for random field parameters with a goal-oriented quality control of the PGD forward model’s accuracy
Computational Mechanics
2022
70
6
1189-1210