Search Results - "Chu, XueSen"
-
1
Accurate Computation of Airfoil Flow Based on the Lattice Boltzmann Method
Published in Applied sciences (01-05-2019)“…The lattice Boltzmann method (LBM) is an important numerical algorithm for computational fluid dynamics. This study designs a two-layer parallel model for the…”
Get full text
Journal Article -
2
Advances of the in-house developed SWLBM framework in simulating large-scale three-dimensional violent free surface flow with intense splashing
Published in Ocean engineering (01-10-2024)“…The accurate and efficient simulation for violent free surface flow with intense splashing is import in engineering. The purpose of this paper was to extend…”
Get full text
Journal Article -
3
Interfacial Thermal Fluctuations Stabilize Bulk Nanobubbles
Published in Physical review letters (06-09-2024)“…Consensus on bulk nanobubble stability remains elusive, despite accepted indirect evidence for longevity. We develop a nanobubble evolution model by…”
Get full text
Journal Article -
4
OSTTD: Offloading of Splittable Tasks With Topological Dependence in Multi-Tier Computing Networks
Published in IEEE journal on selected areas in communications (01-02-2023)“…With the arrival of the Internet of Things (IoT) era, multi-tier computing has attracted significant attention. The multi-tier computing can organize many…”
Get full text
Journal Article -
5
SunwayLB: Enabling Extreme-Scale Lattice Boltzmann Method Based Computing Fluid Dynamics Simulations on Advanced Heterogeneous Supercomputers
Published in IEEE transactions on parallel and distributed systems (01-02-2024)“…The Lattice Boltzmann Method (LBM) is a class of Computational Fluid Dynamics methods which models the fluid as fictive particles. In this paper, we report our…”
Get full text
Journal Article -
6
Direct simulation of flow field around SUBOFF in grid-generated turbulence with SWLBM
Published in Computers & fluids (30-10-2023)Get full text
Journal Article -
7
Flow reconstruction over a SUBOFF model based on LBM-generated data and physics-informed neural networks
Published in Ocean engineering (15-09-2024)“…Flow reconstruction from sparse velocity measurements (either from simulation or experiment) is essential in the study of SUBOFF models for the purpose of…”
Get full text
Journal Article -
8
Data-driven modeling of unsteady flow based on deep operator network
Published 10-04-2024“…Time-dependent flow fields are typically generated by a computational fluid dynamics (CFD) method, which is an extremely time-consuming process. However, the…”
Get full text
Journal Article -
9
Deep Reinforcement Learning Methods for USV Control: A Review
Published in 2023 China Automation Congress (CAC) (17-11-2023)“…As an advanced application of the unmanned system in marine engineering, unmanned surface vehicles (USVs) are widely used in the field of sea reconnaissance,…”
Get full text
Conference Proceeding -
10
Parallel Computing and Optimization of Lattice Boltzmann Method Based on SW26010 Processor
Published in 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) (01-12-2020)“…The Lattice Boltzmann Method (LBM) is an important and powerful approach in computational fluid dynamics, particularly for large-scale parallel computing of…”
Get full text
Conference Proceeding -
11
SunwayLB: Enabling Extreme-Scale Lattice Boltzmann Method Based Computing Fluid Dynamics Simulations on Sunway TaihuLight
Published in 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS) (01-05-2019)“…The Lattice Boltzmann Method (LBM) is a relatively new class of Computational Fluid Dynamics methods. In this paper, we report our work on SunwayLB, which…”
Get full text
Conference Proceeding