Oskar J. Haidn

According to our database1, Oskar J. Haidn authored at least 15 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Toward Efficient FSI Modeling in Patient-Specific Arteries: SPH Simulation of Blood Flow in Thin Deformable Vessels.
CoRR, January, 2026

2025
Efficient implementation of transport velocity formulation.
J. Comput. Phys., 2025

Physics-driven complex relaxation for multi-body systems of SPH method.
Comput. Phys. Commun., 2025

FVM realization in Eulerian SPH: A comparative study within unified codebase.
Comput. Phys. Commun., 2025

An algorithm for the incorporation of relevant FVM boundary conditions in the Eulerian SPH framework.
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.
J. Comput. Phys., 2024

Simulating anisotropic diffusion processes with smoothed particle hydrodynamics.
CoRR, 2024

Adaptive optimization of wave energy conversion in oscillatory wave surge converters via SPH simulation and deep reinforcement learning.
CoRR, 2024

DRLinSPH: An open-source platform using deep reinforcement learning and SPHinXsys for fluid-structure-interaction problems.
CoRR, 2024

An efficient truncation scheme for Eulerian and total Lagrangian SPH methods.
CoRR, 2024

2023
Level-set based pre-processing techniques for particle methods.
Comput. Phys. Commun., August, 2023

Incorporating the algorithm for the boundary condition from FVM into the framework of Eulerian SPH.
CoRR, 2023

An explicit multi-time stepping algorithm for multi-time scale coupling problems in SPH.
CoRR, 2023

2022
Level-set based pre-processing algorithm for particle-based methods.
CoRR, 2022

2020
A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks.
CoRR, 2020


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