Multi Level Monte Carlo Methods for Uncertainty Quantification and Robust Design Optimization in Aerodynamics

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Multi Level Monte Carlo Methods for Uncertainty Quantification and Robust Design Optimization in Aerodynamics

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Area-Oriented Optimization After Standard-Cell Mapping

Reliable data-driven decision-making through optimal transport

Adaptive Finite Elements with Large Aspect Ratio. Application to Aluminium Electrolysis

Aerodynamic modeling of a delta-wing UAV for model-based navigation

Distributed Predictive Formation Control of Autonomous Rotary-Wing Micro Aerial Vehicles

Using automated design appraisal to model building-specific devaluation risk due to land-use change

The time-domain Cartesian multipole expansion of electromagnetic fields

Design of an Open-Loop Pile-Oscillation Program in the CROCUS Reactor

Pseudo-Three-Dimensional Analytical Model of Linear Induction Motors for High-Speed Applications

A FEM modelling workflow to simulate THM effects in the rock around nuclear waste packages

Lumped Drag Model Identification and Real-Time External Force Detection for Rotary-Wing Micro Aerial Vehicles

On the Generalization of Stochastic Gradient Descent with Momentum

Robot Learning using Tensor Networks

Enabling Uncertainty Estimation in Iterative Neural Networks

Stochastic Simulations and Machine Learning Modeling to Predict Bedload Transport and Bed Topography

Data from: Optimal blade pitch control for enhanced vertical-axis wind turbine performance

Method for wind harvesting and wind rejection in flying drones

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

From low-rank retractions to dynamical low-rank approximation and back