Oskar J. Haidn

According to our database, Oskar J. Haidn authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

An algorithm for the incorporation of relevant FVM boundary conditions in the Eulerian SPH framework.

Zhentong Wang, Oskar J. Haidn, Xiangyu Hu

Comput. Phys. Commun., 2025

2024

A fourth-order kernel for improving numerical accuracy and stability in Eulerian SPH for fluids and total Lagrangian SPH for solids.

Zhentong Wang, Bo Zhang, Oskar J. Haidn, Xiangyu Hu

J. Comput. Phys., 2024

Simulating anisotropic diffusion processes with smoothed particle hydrodynamics.

Xiaojing Tang, Oskar J. Haidn, Xiangyu Hu

CoRR, 2024

Adaptive optimization of wave energy conversion in oscillatory wave surge converters via SPH simulation and deep reinforcement learning.

Mai Ye, Chi Zhang, Yaru Ren, Ziyuan Liu, Oskar J. Haidn, Xiangyu Hu

CoRR, 2024

DRLinSPH: An open-source platform using deep reinforcement learning and SPHinXsys for fluid-structure-interaction problems.

Mai Ye, Hao Ma, Yaru Ren, Chi Zhang, Oskar J. Haidn, Xiangyu Hu

CoRR, 2024

An efficient truncation scheme for Eulerian and total Lagrangian SPH methods.

Zhentong Wang, Chi Zhang, Oskar J. Haidn, Xiangyu Hu

CoRR, 2024

2023

Level-set based pre-processing techniques for particle methods.

Yongchuan Yu, Yujie Zhu, Chi Zhang, Oskar J. Haidn, Xiangyu Hu

Comput. Phys. Commun., August, 2023

Incorporating the algorithm for the boundary condition from FVM into the framework of Eulerian SPH.

Zhentong Wang, Oskar J. Haidn, Xiangyu Hu

CoRR, 2023

An explicit multi-time stepping algorithm for multi-time scale coupling problems in SPH.

Xiaojing Tang, Dong Wu, Zhengtong Wang, Oskar J. Haidn, Xiangyu Hu

CoRR, 2023

2022

Level-set based pre-processing algorithm for particle-based methods.

Yongchuan Yu, Yujie Zhu, Chi Zhang, Oskar J. Haidn, Xiangyu Hu

CoRR, 2022

2020

A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks.

Hao Ma, Xiangyu Hu, Yuxuan Zhang, Nils Thuerey, Oskar J. Haidn

CoRR, 2020