Christian Sabater

Fast Predictions of Aircraft Aerodynamics Using Deep-Learning Techniques

P. Bekemeyer, P. Stürmer, Christian Sabater, 2022, AIAA Journal.

Data-Driven Aerodynamic Modeling Using the DLR SMARTy Toolbox

M. Widhalm, P. Bekemeyer, Mateus Dias Ribeiro, 2022, AIAA AVIATION 2022 Forum.

A Bayesian approach for quantile optimization problems with high-dimensional uncertainty sources

Stefan Görtz, Pietro Marco Congedo, Christian Sabater, 2021, Computer Methods in Applied Mechanics and Engineering.

Fast Predictions of Aircraft Aerodynamics using Deep Learning Techniques

Christian Sabater, Philipp Bekemeyer, Philipp Stürmer, 2021, AIAA AVIATION 2021 FORUM.

Optimization Under Uncertainty of Shock Control Bumps for Transonic Wings

Christian Sabater, 2021, Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications.

Efficient Bilevel Surrogate Approach for Optimization Under Uncertainty of Shock Control Bumps

Christian Sabater, Philipp Bekemeyer, Stefan Görtz, 2020 .

Robust Design of Transonic Natural Laminar Flow Wings under Environmental and Operational Uncertainties

Stefan Görtz, Philipp Bekemeyer, Christian Sabater Campomanes, 2020, AIAA Scitech 2021 Forum.

Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization

Christian Sabater, 2020 .

Gradient-Based Aerodynamic Robust Optimization Using the Adjoint Method and Gaussian Processes

Christian Sabater, Stefan Görtz, S. Görtz, 2020 .

An Efficient Bi-Level Surrogate Approach for Optimizing Shock Control Bumps under Uncertainty

Stefan Goertz, Christian Sabater, S. Goertz, 2019, AIAA Scitech 2019 Forum.