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20232026
most citedLarge-Scale Simulations of Turbulent Flows using Lattice Boltzmann Methods on Heterogeneous High Performance Computers

1 citations · 1 across the 7 of their papers we have counts for

collaborators

9 papers

math.OC2026

Benchmark cases for gradient-based optimization in linear elastic solid mechanics using lattice Boltzmann methods

Johannes L. Grafen, Florian Kaiser, Stephan Simonis +2

Gradient-based optimization (GBO) of problems constrained by partial differential equations is central to parameter identification and structural design in solid mechanics. Lattice…

physics.flu-dyn2026

Mean-Flow Adjoint Sensitivity Analysis of Unsteady Flow Around Porous Cylinders Using a Homogenized Lattice Boltzmann Method

Shota Ito, Johannes L. Grafen, Fedor Bukreev +2

Adjoint-based sensitivity analysis is an indispensable tool for large-scale fluid-dynamic design and distributed control problems, yet its application to unsteady and turbulent flo…

physics.optics2026

Micrometer-scale displacement and thickness sensing using a single terahertz resonant-tunneling diode

Li Yi, Shota Ito, Chao Tang +5

Resonant tunneling diodes (RTDs) support room-temperature terahertz (THz) oscillation and simultaneous THz-band detection, enabling compact monostatic THz sensors for practical and…

physics.flu-dyn2025

Efficient Wall-Modelled Large Eddy Simulation of Rotors using Homogenized Lattice Boltzmann Methods

Adrian Kummerländer, Shota Ito, Maximilian Schecher +4

Accurately capturing the dynamic forces acting on rotors as well as their wake effects presents a significant challenge for computational fluid dynamics (CFD) due to high Reynolds…

physics.flu-dyn2025

OpenLB-UQ: An Uncertainty Quantification Framework for Incompressible Fluid Flow Simulations

Mingliang Zhong, Adrian Kummerländer, Shota Ito +3

Uncertainty quantification (UQ) is crucial in computational fluid dynamics to assess the reliability and robustness of simulations, given the uncertainties in input parameters. Ope…

physics.comp-ph2025★ 1 cited

Large-Scale Simulations of Turbulent Flows using Lattice Boltzmann Methods on Heterogeneous High Performance Computers

Adrian Kummerländer, Fedor Bukreev, Yuji Shimojima +2

Current GPU-accelerated supercomputers promise to enable large-scale simulations of turbulent flows. Lattice Boltzmann Methods (LBM) are particularly well-suited to fulfilling this…

cs.LG2025

A Prefixed Patch Time Series Transformer for Two-Point Boundary Value Problems in Three-Body Problems

Akira Hatakeyama, Shota Ito, Toshihiko Yanase +1

Two-point boundary value problems for cislunar trajectories present significant challenges in circler restricted three body problem, making traditional analytical methods like Lamb…

astro-ph.IM2025

Low-Thrust Many-Revolution Trajectory Design Under Operational Uncertainties for DESTINY+ Mission

Naoya Ozaki, Yuki Akiyama, Akira Hatakeyama +3

DESTINY+ is a planned JAXA medium-class Epsilon mission from Earth to deep space using a low-thrust, many-revolution orbit. Such a trajectory design is a challenging problem not on…

cs.MS2023

OpenLB User Guide: Associated with Release 1.6 of the Code

Adrian Kummerländer, Samuel J. Avis, Halim Kusumaatmaja +18

OpenLB is an object-oriented implementation of LBM. It is the first implementation of a generic platform for LBM programming, which is shared with the open source community (GPLv2)…