Kislaya Ravi;Atul Agrawal;Hans-Joachim Bungartz;Phaedon-Stelios Koutsourelakis
Multi-fidelity Constrained Optimization for Stochastic Black-Box Simulators
Machine Learning and the Physical Sciences Workshop at the 37th conference on Neural Information Processing Systems (NeurIPS) December 15, 2023
2023

Thiago Lima Carneiro
Efficient Uncertainty Quantification for Power Networks
Masterarbeit
2024

Vaishali Ravishankar
Exploratory Analysis of Turbulent Flow Data using GNN-based Surrogate Model
Masterarbeit
2024

Michael Bader
Model Flexibility and Performance Portability for Extreme-Scale Earthquake Simulations
HPCSIM - Frontiers of High-Performance Computing in Modeling and Simulation
2024

Benjamin Rodenberg
High-fidelity partitioned multiphysics with preCICE and open-source solvers
PDESoft 2024
2024

Baysan, Mustafa Fatih
Using Deep Learning for Estimation of Objects Properties with Radar in Low Earth Orbits
Masterarbeit
2024

Yakup Koray Budanaz
Improved GPU Kernel Generation for SeisSol using Loop-over-GEMM and Sparse-Matrix Operations
Masterarbeit
2023

Schuhmacher, Jonas;Blazquez, Emmanuel;Gratl, Fabio;Izzo, Dario;Gómez, Pablo
Efficient Polyhedral Gravity Modeling in Modern C++ and Python
Journal of Open Source Software
2024
9
98
Jun
6384

Hachicha, Mehdi
Improving OpenMP Loop Scheduling in AutoPas
Bachelorarbeit
2024

Jingzhou Long
Implementation of coupled acoustic-elastic solvers in the ExaHyPE2 hyperbolic PDE Engine
Bachelorarbeit
2024