activity
20192025
most citedVariational Quantum Algorithms for Computational Fluid Dynamics

93 citations · 161 across the 11 of their papers we have counts for

collaborators

17 papers

physics.flu-dyn2025

Incremental Model Order Reduction of Smoothed-Particle Hydrodynamic Simulations

Eduardo Di Costanzo, Niklas Kühl, Jean-Christophe Marongiu +1

Engineering simulations are usually based on complex, grid-based, or mesh-free methods for solving partial differential equations. The results of these methods cover large fields o…

cs.CE2023★ 16 cited

Parameter-free shape optimization: various shape updates for engineering applications

Lars Radtke, Georgios Bletsos, Niklas Kühl +4

In the last decade, parameter-free approaches to shape optimization problems have matured to a state where they provide a versatile tool for complex engineering applications. Howev…

cs.MS2023★ 1 cited

An Incremental Singular Value Decomposition Approach for Large-Scale Spatially Parallel & Distributed but Temporally Serial Data -- Applied to Technical Flows

Niklas Kühl, Hendrik Fischer, Michael Hinze +1

The paper presents a strategy to construct an incremental Singular Value Decomposition (SVD) for time-evolving, spatially 3D discrete data sets. A low memory access procedure for r…

physics.flu-dyn2022★ 8 cited

Two-Phase Flow Simulations of Surface Waves in Wind-Forced Conditions

Malte Loft, Niklas Kühl, Marc P. Buckley +4

The paper is devoted to two-phase flow simulations and investigates the ability of a diffusive interface Cahn-Hilliard Volume-of-Fluid model to capture the dynamics of the air-sea…

quant-ph2022★ 93 cited

Variational Quantum Algorithms for Computational Fluid Dynamics

Dieter Jaksch, Peyman Givi, Andrew J. Daley +1

Quantum computing uses the physical principles of very small systems to develop computing platforms which can solve problems that are intractable on conventional supercomputers. Th…

math.OC2022

Application of p-Laplacian relaxed steepest descent to shape optimization in two-phase flows

Peter Marvin Müller, Martin Siebenborn, Thomas Rung

The paper is concerned with the minimal drag problem in shape optimization of merchant ships exposed to turbulent two-phase flows. Attention is directed to the solution of Reynolds…

math.OC2022★ 6 cited

A Scalable Algorithm for Shape Optimization with Geometric Constraints in Banach Spaces

Peter Marvin Müller, Jose Pinzon, Thomas Rung +1

This work develops an algorithm for PDE-constrained shape optimization based on Lipschitz transformations. Building on previous work in this field, the -Laplace operator is util…

math.NA2022

Discrete Adjoint Momentum-Weighted Interpolation Strategies

Niklas Kühl, Thomas Rung

This Technical Note outlines an adjoint complement to a critical building block of pressure-based Finite-Volume (FV) flow solvers that employ a collocated variable arrangement to s…

physics.flu-dyn2022

Adjoint Node-Based Shape Optimization of Free Floating Vessels

Niklas Kühl, Thanh Tung Nguyen, Michael Palm +2

The paper is concerned with a node-based, gradient-driven, continuous adjoint two-phase flow procedure to optimize the shapes of free-floating vessels and discusses three topics. F…

physics.flu-dyn2021

Free surface flow through rigid porous media -- An overview and comparison of formulations

Wibke Düsterhöft-Wriggers, Antonia Larese, Thomas Rung +1

In many applications free surface flow through rigid porous media has to be modeled. Examples refer to coastal engineering applications as well as geotechnical or biomedical applic…

math.OC2021

A Novel -Harmonic Descent Approach Applied to Fluid Dynamic Shape Optimization

Peter Marvin Müller, Niklas Kühl, Martin Siebenborn +3

We introduce a novel method for the implementation of shape optimziation in fluid dynamics applications, where we propose to use the shape derivative to determine deformation field…

physics.flu-dyn2021

Adjoint-based Shape Optimization for the Minimization of Flow-induced Hemolysis in Biomedical Applications

Georgios Bletsos, Niklas Kühl, Thomas Rung

This paper reports on the derivation and implementation of a shape optimization procedure for the minimization of hemolysis induction in biomedical devices. Hemolysis is a blood da…

physics.flu-dyn2020

Adjoint Complement to the Universal Momentum Law of the Wall

Niklas Kühl, Peter M. Müller, Thomas Rung

The paper is devoted to an adjoint complement to the universal Law of the Wall (LoW) for fluid dynamic momentum boundary layers. The latter typically follows from a strongly simpli…

physics.flu-dyn2020★ 11 cited

Continuous Adjoint Complement to the Blasius Equation

Niklas Kühl, Peter M. Müller, Thomas Rung

The manuscript is concerned with a continuous adjoint complement to two-dimensional, incompressible, first-order boundary-layer equations for a flat plate boundary-layer. The text…

physics.flu-dyn2020★ 26 cited

Adjoint Complement to the Volume-of-Fluid Method for Immiscible Flows

Niklas Kühl, Jörn Kröger, Martin Siebenborn +2

The paper is concerned with an adjoint complement to the Volume-of-Fluid (VoF) method for immiscible two-phase flows, e.g. air and water, which is widely used in marine engineering…

physics.comp-ph2020

Cahn-Hilliard Navier-Stokes Simulations for Marine Free-Surface Flows

Niklas Kühl, Michael Hinze, Thomas Rung

The paper is devoted to the simulation of maritime two-phase flows of air and water. Emphasis is put on an extension of the classical Volume-of-Fluid (VoF) method by a diffusive co…

physics.flu-dyn2019

Decoupling of Control and Force Objective in Adjoint-Based Fluid Dynamic Shape Optimization

Niklas Kühl, Peter M. Müller, Arthur Stück +2

We discuss exterior and classical interior alternatives for evaluating fluid flow induced forces on bodies. The discussion aims at a reduction of the total shape derivative, achiev…