activity
20142024
most citedAmplification of supersonic micro-jets by resonant inertial cavitation-bubble pair

37 citations · 51 across the 17 of their papers we have counts for

collaborators

17 papers

quant-ph20241 cited

Unitary Quantum Algorithm for the Lattice-Boltzmann Method

David Wawrzyniak, Josef Winter, Steffen Schmidt +4

We present a quantum algorithm for computational fluid dynamics based on the Lattice-Boltzmann method. Our approach involves a novel encoding strategy and a modified collision oper…

physics.comp-ph2024

A generalized hybrid method for surfactant dynamics

Yu Fan, Shuoguo Zhang, Xiangyu Hu +1

In this paper, we develop a generalized hybrid method for both two-dimensional (2-D) and three-dimensional (3-D) surfactant dynamics. While the Navier-Stokes equations are solved b…

math.NA2024

Analysis of the particle relaxation method for generating uniform particle distributions in smoothed particle hydrodynamics

Yu Fan, Xiaoliang Li, Shuoguo Zhang +2

We establish a theoretical framework of the particle relaxation method for uniform particle generation of Smoothed Particle Hydrodynamics. We achieve this by reformulating the part…

physics.flu-dyn20242 cited

JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows

Deniz A. Bezgin, Aaron B. Buhendwa, Nikolaus A. Adams

In our effort to facilitate machine learning-assisted computational fluid dynamics (CFD), we introduce the second iteration of JAX-Fluids. JAX-Fluids is a Python-based fully-differ…

physics.flu-dyn202437 cited

Amplification of supersonic micro-jets by resonant inertial cavitation-bubble pair

Yuzhe Fan, Alexander Bußmann, Fabian Reuter +5

We reveal for the first time by experiments that within a narrow parameter regime, two cavitation bubbles with identical energy generated in anti-phase develop a supersonic jet. Hi…

cs.LG2023

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

Artur P. Toshev, Gianluca Galletti, Fabian Fritz +2

Machine learning has been successfully applied to grid-based PDE modeling in various scientific applications. However, learned PDE solvers based on Lagrangian particle discretizati…