CFC 2027

Among other aspects related to computational fluid mechanics
Organized by: C. Coreixas (Beijing Normal - Hong Kong Baptist University, China), S. Watanabe (Kyushu University, Japan), T. Shimokawabe (The University of Tokyo, Japan), T. Mitchell (The University of Queensland, Australia) and J. Latt (University of Geneva, Switzerland)
Keywords: Adaptive Mesh Refinement, Finite Difference, Finite Volume, High-Order, Lattice Boltzmann, Multiphysics, Computational Fluid Dynamics, GPU
Organized by: D. Ishihara (Kyushu Institute of Technology, Japan) and H. Liu (Chiba University, Japan)
Keywords: Biological Swimming, Biological Flying, Computational Biomimetics, Computational Biomechanics
Organized by: Y. Kuya (Kyushu University, Japan) and H. Higuchi (QunaSys Inc., Japan)
Keywords: Computational Fluid Dynamics, Design optimization, Machine learning, Quantum annealing, Quantum computing, Quantum-inspired methods, Tensor network
Organized by: Y. Cui (Huazhong University of Science and Technology, China), M. Hribersek (University of Maribor, Slovenia), J. Ravnik (University of Maribor, Slovenia), P. Steinmann (FAU Erlangen-Nürnberg, Germany) and J. Wedel (FAU Erlangen-Nürnberg, Germany)
Keywords: Environmental and Health Applications, Euler-Lagrange, Particle-Laden Flows
Organized by: S. Mittal (IIT Kanpur, India)
Keywords: Computational Fluid Dynamics, sports
Organized by: T. NAKAZAWA (Kanazawa University, Japan), T. TAKAISHI (Musashino University, Japan) and K. SHIROTA (Aichi Prefectural University, Japan)
Keywords: Adaptive Mesh Refinement, computational fluid dynamics, finite element methods, Fluid Dynamics., High Performance Computing, Moving Boundaries, Shape Optimization
Organized by: S. yang (University of Leeds, United Kingdom), G. de Boer (University of Leeds, United Kingdom), D. Chou (NCKU, United Kingdom) and S. Li (Institute of Sciences Tokyo, Japan)
Keywords: AI, Biological Flows, Mixed-dimensional Problems
Organized by: T. Nakashima (Hiroshima University, Japan), M. Tsubokura (RIKEN R-CCS; Kobe University, Japan) and R. Kurose (Kyoto University, Japan)
Keywords: AI, Computational Fluid Dynamics, High-Performance Computing, Industrial Flows
Organized by: N. Mitsume (University of Tsukuba, Japan), K. Nishiguchi (Nagoya University, Japan), S. Chen (Sun Yat-sen University, China), T. Huang (National Taiwan University, Taiwan), S. Kaneko (Nagoya Institute of Technology, Japan), W. Wang (National Chung Hsing University, Taiwan), C. Li (National Cheng Kung University, Taiwan) and K. Shioiri (Ashizawa Finetech Ltd., Japan)
Keywords: Computational Fluid Dynamics, Coupled Problems, Surrogate Modeling
Organized by: N. MITSUME (University of Tsukuba, Japan), M. HSU (Iowa State University, United States), M. ASAI (Kyushu, Japan) and T. NAKATA (Chiba University, Japan)
Keywords: Computational Fluid Dynamics, Computer Vision, Sensing Technologies
Organized by: D. Livescu (Los Alamos National Laboratory, United States) and Z. Li (Texas A&M Corpus Cristi, United States)
Keywords: Multiphase Flow, Multiphysics, PDE models, Turbulent Flow
Compressible and incompressible flows
Organized by: M. Bruchhäuser (Helmut Schmidt University Hamburg, Germany), M. Bause (Helmut Schmidt University Hamburg, Germany) and B. Endtmayer (Leibniz University Hannover, Germany)
Keywords: Coupled Problems, Error Control and Adaptivity, Multilevel Iterative Solvers, Navier-Stokes Equations, Space-Time Finite Element Methods
Organized by: Y. Bazilevs (Vanderbilt University, United States), G. Hauke (Escuela de Ingeniería y Arquitecdtura, Spain) and A. Masud (University of Illinois - Urbana Champaign, United States)
Keywords: Stabilized Methods, computational fluid dynamics, Variational Multiscale (VMS) Method
Emerging techniques coming from genetic algorithms and artificial intelligence
Organized by: N. Tonicello (International School for Advanced Studies, Italy), P. Africa (International School for Advanced Studies, Italy), F. Pichi (International School for Advanced Studies, Italy), A. Colanera (International School for Advanced Studies, Italy) and G. Roza (International School for Advanced Studies, Italy)
Keywords: Reduced-Order modelling, Scientific Machine Learning, Digital Twins
Organized by: M. Chern (National Taiwan University of Science and Tec, Taiwan), J. Yang (National Yang Ming Chiao Tung University, Taiwan) and C. Chen (National Yang Ming Chiao Tung University, Taiwan)
Keywords: AI, CFD, data driven, Physics informed neural network
Organized by: Y. Hong (Seoul National University, Republic of Korea) and H. Son (Konkuk University, Republic of Korea)
Keywords: AI, Fluid Dynamics. , Numerical Analysis, Scientific Computing, Machine Learning
Organized by: R. Ransing (Swansea University, United Kingdom), R. Pandey (Indian Institute of Technology (BHU), India) and D. Tripathi (National Institute of Technology, Uttarakhand, India)
Keywords: AI, data driven, Machine Learning, Scientific Machine Learning;
Organized by: K. Ono (Kyushu University, Japan) and K. Nishiguchi (Nagoya University, Japan)
Keywords: AI, CFD, Numerical Modeling, Surrogate Modeling
Organized by: L. Gkimisis (MPI Magdeburg, Germany), M. Tezzele (Emory University, United States) and G. Rozza (SISSA, Italy)
Keywords: data-driven modeling, scientific machine learning, computational fluid dynamics, Model reduction
Organized by: T. Bui-Thanh (The University of Texas at Austin, United States)
Keywords: Computational Fluid Dynamics, Model-Constrained Learning, Scientific Machine Learning, Artificial Intelligence, Discontinuous Galerkin, finite difference, finite element, finite volume
Environmental flows, hydrology, coastal engineering, tsunamis modelling
Organized by: K. Kashiyama (Chuo University, Japan), J. Westerink (University of Notre Dame, United States), E. Kubatko (the Ohio State University, United States), E. Valseth (Norwegian University of Life Sciences, Norway), S. Tanaka (Hiroshima Institute of Technology, Japan) and S. Takase (Hachinohe Institute of Technology, Japan)
Keywords: Environmental Flow, Fluid-Structure Interaction, High-performance computing, Hydrological Disaster
Organized by: S. YANO (Kyushu Univeristy, Japan) and Y. IDE (Kyushu Univeristy, Japan)
Keywords: Coastal Environment, Flood and Drought, Integrated Modeling, Climate Change
Organized by: J. Zhao (HKUST, China, Hong Kong), N. Guo (Zhejiang University, China), S. Zhao (Wuhan University, China) and T. Yu (Zhejiang University, China)
Keywords: CFD-DEM coupling, fluid-granular interactions, geomechanics, LBM, MPM, multiscale modelling, particle-based methods, SPH
Organized by: Y. Nihei (Tokyo University of Science, Japan), T. Uchida (Hiroshima University, Japan), Y. Akamatsu (Yamguchi University, Japan), T. Shintani (Tokyo Metropolitan University, Japan) and J. Kashiwada (Tokyo University of Science, Japan)
Keywords: "Complex Flows", Computational Fluid Dynamics, Hydrological Disaster, Turbulent Flows
This minisymposium focuses on the development and application of Reduced Order Models (ROMs) for complex environmental systems, with particular emphasis on oceanic and atmospheric processes (e.g., circulation, waves, and wave-structure interactions). ROMs offer efficient alternatives to high-fidelity simulations by simplifying large-scale models while preserving critical system dynamics, making them highly valuable for real-time prediction and analysis. Oceanic and atmospheric flows have significant societal impacts, but due to the massive physical scales involved, they pose severe computational challenges for operational forecasting. Machine learning and data-driven models—applying techniques such as dynamic mode decomposition (DMD) and its variants, physics-informed neural networks (PINNs), and generative AI approaches—are proving able to bridge this gap. The minisymposium invites researchers and practitioners from diverse computational fields to discuss advancements in creating these reduced-order frameworks. Participants are encouraged to contribute to the ongoing dialogue on the advantages, limitations, and future directions of using hybrid or purely data-driven approaches to model complex physical processes that traditionally require prohibitive computational resources.
Organized by: J. Harris (École nationale des ponts et chaussées, France) and K. Kuznetsov (GRASP Earth, France)
Keywords: Coastal Environment, Data-Driven Methods, Environmental Flow, Ocean and Atmospheric Dynamics, Physics-Informed Machine Learning, Reduced-Order modelling
Fluid-structure interactions
Organized by: J. Yan (University of Illinois Urbana-Champaign, United States), M. CHERN (National Taiwan University of Science and Tec, Taiwan), T. HUANG (National Taiwan University, Taiwan), M. HSU (Iowa State University, United States), C. LIN (National Tsinghua University, Taiwan) and G. Moutsanidis (Rutgers University, United States)
Keywords: Computational Fluid Dynamics, Fluid-Structure Interaction, Multiphase Flow, Multiphysics
Organized by: S. Ii (Institute of Science Tokyo, Japan), Y. Imai (Kobe University, Japan), K. Sugiyama (The University of Osaka, Japan), S. Noda (RIKEN, Japan) and X. Gong (Shanghai Jiao Tong University, China)
Keywords: Biological Flows, Dispersed Flows, Capsule/particle/droplet, Ferrofluids
Organized by: L. Battaglia (CIMEC-UNL-CONICET, Argentina), J. D'Elia (CIMEC-UNL-CONICET, Argentina), L. Garelli (CIMEC-UNL-CONICET, Argentina), G. Rios Rodríguez (CIMEC-UNL-CONICET, Argentina), M. Storti (CIMEC-UNL-CONICET, Argentina) and M. Cruchaga (Universidad de Santiago de Chile, Chile)
Keywords: Applications , Fluid-Structure Interaction, High Performance Computing, Multiphysics, Numerical methods
Organized by: S. Lee (KAIST, Republic of Korea) and S. Shin (Seoul National University, Republic of Korea)
Keywords: computational fluid dynamics, smoothed particle hydrodynamics, finite element methods, fluid-structure interaction
Organized by: M. ALAM (Harbin Institute of Technology (Shenzhen), China), C. Ji (Tianjin University, China), W. Junlei (Zhengzhou University, China) and H. Zhu (Southwest Petroleum University, China)
Keywords: Energy Harvesting, Fluid Dynamics, Flow-Induced Vibrations
Free surfaces and moving interfaces
Organized by: S. Matsushita (Institute of Science Tokyo, Japan), S. Takagi (The University of Tokyo, Japan), K. Yokoi (Cardiff University, United Kingdom), S. Jain (Georgia Institute of Technology, United States) and K. Kitada (Kyoto University, Japan)
Keywords: Adaptive mesh refinement, High-performance computing, Interface capturing, Surfactant transport, Multiphase flow, Phase Change
Organized by: M. Sakai (The University of Tokyo, Japan), C. O'Sullivan (Imperial College London, United Kingdom), L. Wang (Chinese Academy of Sciences, China), M. Alexander Schweitzer (Fraunhofer SCAI, Germany) and J. Matsumoto (Natl. Inst. Adv. Ind. Sci. Technol. (AIST), Japan)
Keywords: Data Assimilation, Granular and Multiphase Systems, High‑Performance Computing, Numerical Analysis Method, Numerical Modeling, Surrogate Modeling
Organized by: Y. Cho (KAIST, Republic of Korea)
Keywords: Computation, Elastic Media, Fluids, Math, Waves
Organized by: A. Engsig-Karup (Technical University of Denmark, Denmark), J. Visbech (Technical University of Denmark, Denmark), O. Bokhove (University of Leeds, United Kingdom) and M. RICCHIUTO (Inria at University of Bordeaux Research cent, France)
Keywords: computational fluid dynamics, free surface flow, Numerical methods, Scientific Machine Learning
Organized by: R. Rao (Sandia National Laboratories, United States), D. Noble (Sandia National Laboratories, United States) and A. Kucala (Sandia National Laboratories, United States)
Keywords: AI/ML, manufacturing flows, moving boundaries, solidification, Free surface flows, non-Newtonian
High performance computing applied to CFC
Organized by: N. Jansson (KTH Royal Institute of Technology, Sweden), P. Ohm (RIKEN Center for Computational Science, Japan), G. Harper (Sandia National Laboratories, United States) and P. Schlatter (Friedrich-Alexander-Universität, Germany)
Keywords: High-order Matrix-free Methods, hp-Multigrid, Mixed-Precision Arithmetic, Spectral Element Method, Extreme-scale CFD
Organized by: T. Shimokawabe (The University of Tokyo, Japan), N. Onodera (Prometech Software, Inc., Japan), Y. Asahi (CEA, France) and T. Gerrits (RWTH Aachen University, Germany)
Keywords: GPU Computing, High-Performance Computing, In-Situ Visualization, Large-scale Applications, Performance Portability, Scientific Visualization, Computational Fluid Dynamics
Industrial applications: food industry, mining, cooper production, steel refinement, ventilation and refrigeration, energy generation
Organized by: E. Kim (Seoul National University, Republic of Korea), M. Luo (Zhejiang University, China), J. Jeong (Chung-Ang University, Republic of Korea), M. Song (Hanyang University, Republic of Korea) and J. Seong (KAIST, Republic of Korea)
Keywords: High-Fidelity, Multiphysics, Appplications, Computational Fluid Dynamics
Organized by: S. Tsuda (Kyushu University, Japan), S. Watanabe (Kyushu University, Japan) and J. Kim (Korea Institute of Industrial Technology, Republic of Korea)
Keywords: CFD, Complex Flow Field, Modeling, Optimization, Turbomachinery
Laminar and turbulent flows
Organized by: T. Tsukahara (Tokyo University of Science, Japan), M. Rosti (Okinawa Institute of Science and Technology, Japan), A. Stroh (Karlsruhe Institute of Technology, Germany), H. Mamori (The University of Electro-Communications, Japan) and Y. Hasegawa (The University of Tokyo, Japan)
Keywords: LES/RANS Modeling, Wall-Bounded Flows, "Complex Flows", Turbulence
Magnetohydrodynamic
Organized by: M. Sugimoto (Tohoku University, Japan) and M. Shigeta (Tohoku University, Japan)
Keywords: Multiphase Flows, Multiphysics, Plasma, Turbulent Flows
Mathematical aspects of the formulation, modelling and simulation
Organized by: V. Križaić (Polytechnic of Međimurje in Čakovec, Croatia)
Keywords: " DSP cod method", " IEM technology ", "RK-IEM cod ", Digital twin "
Organized by: F. DHAOUADI (Bordeaux INP, France), H. NISHIKAWA (NIA, United States), C. MUNOZ MONCAYO (KAUST, Saudi Arabia) and M. RICCHIUTO (Inria, France)
Keywords: high order derivatives, hyperbolic approximations , PDE models, Fluid Dynamics
Nanofluidics and microfluidics
Organized by: A. Abarca-Ortega (Universidad de Santiago de Chile, Chile), M. Cruchaga (Universidad de Santiago de Chile, Chile) and P. Kler (CIMEC-UNL-CONICET, Argentina)
Keywords: Experimental validation, Lab-on-a-chip, Microfluidics, Numerical methods, Organ-on-a-chip
Organized by: P. Kler (CIMEC, UNL/CONICET, Argentina), P. Gamazo (Universidad de la República, Uruguay), S. Marquez (CIMEC, UNL/CONICET, Argentina) and L. Bessone (Universidad de la República, Uruguay)
Keywords: Multiphase Flow, Porous Media Flow, Transport, Microscale Flow
Newtonian and No-Newtonian fluids
Organized by: N. Margenberg (Otto von Guericke University, Germany), P. Antonietti (Politecnico di Milano, Italy), C. Mehlmann (Otto von Guericke University, Germany), G. Stadler (New York University, United States) and M. Bruchhäuser (Helmut Schmidt Universität Hamburg, Germany)
Keywords: adaptive methods, finite element methods, learned rheology, multiscale methods, nonlinear solvers, viscoelasticity, viscoplasticity, Non-Newtonian flows, preconditioning
Numerical techniques: finite element, finite volume, finite differences, spectral and particle methods among others
Organized by: M. Dumbser (University of Trento, Italy), R. Loubère (CNRS, University of Bordeaux, France), P. Maire (CEA CESTA, France) and M. Ricchiuto (INRIA at Bordeaux University, France)
Keywords: Domain-preserving schemes, Structure-preserving methods, Compressible fluid flows
Organized by: M. Behr (RWTH Aachen University, Germany), S. Elgeti (TU Wien, Austria), F. Key (TU Wien, Austria) and J. Nam (Seoul National University, Republic of Korea)
Keywords: Moving Boundaries, Shape Optimization, Model Reduction, Non-Newtonian Fluids
Organized by: D. Pacheco (RWTH Aachen University, Germany)
Keywords: Euler-Euler, Euler-Lagrange, Interface tracking, Numerical methods, Multi-phase, Non-Newtonian Fluids, Particles
Organized by: P. Persson (University of California, Berkeley, United States), K. Fidkowski (University of Michigan, Ann Arbor, United States) and N. Nguyen (Massachusetts Institute of Technology, United States)
Keywords: High-Performance Computing, Machine Learning, Mesh Adaptivity, Shock Capturing, High-Order Methods
Organized by: S. Watanabe (Kyushu University, Japan), P. Boivin (Centrale Méditerranée, France), M. Kaneda (Osaka Metropolitan University, Japan) and C. Coreixas (Beijing Normal - Hong Kong Baptist University, China)
Keywords: Compressible Flow, High Performance Computing, Kinetic Approaches, Multiphase Flow, Turbulent Flow, Lattice Boltzmann Method
Organized by: D. Fuentes (UT MD Anderson, United States) and B. Riviere (Rice University, United States)
Keywords: Mixed-dimensional Problems, Discontinuous Galerkin, Finite Elements, Scientific Machine Learning;, Multiphysics
Organized by: M. Bergmann (Centre Inria de l’Université de Bordeaux, France), M. Carlino (DAAA, ONERA, France) and A. Del Grosso (Centre Inria de l’Université de Bordeaux, France)
Keywords: Computational Fluid Dynamics, Hyper-reduction, Model Reduction, Sampling and Collocation Techniques
Organized by: T. Matsunaga (The University of Tokyo, Japan), K. Tsuji (Tohoku University, Japan), A. Khayyer (Kyoto University, Japan), P. Sun (Sun Yat-sen University, China), M. Luo (Zhejiang University, China) and M. Asai (Kyushu University, Japan)
Keywords: Continuum Mechanics, Meshfree method, Multiphysics, Particle method
Organized by: S. Nadarajah (McGill University, Canada), T. Haga (JAXA, Japan) and Z. Wang (University of Kansas, United States)
Keywords: High-Order, hp-Adaptation, Large-Eddy Simulations, Shock Capturing
Sedimentation, material transportation
Organized by: S. Moriguchi (Tohoku University, Japan), M. Asai (Kyushu University, Japan), A. Tetto (University of Padova, Italy), R. Nomura (Tohoku University, Japan) and B. Chandra (University of California, Berkeley, United States)
Keywords: Geohazards, Multi-deformation levels
Statistical analyses, dimensional analysis, verification and validation techniques, uncertainties
Organized by: S. Tokareva (Los Alamos National Laboratory, United States) and S. Walton (Los Alamos National Laboratory, United States)
Keywords: dimension reduction, high-dimensional PDEs, uncertainty quantification
Organized by: H. MIYACHI (Tokyo City University, Japan), T. TATSUKAWA (Tokyo University of Science, Japan) and H. RIJAL (Tokyo City University, Japan)
Keywords: Engineering, Virtual Reality, Visualization
Thermo-fluid coupled problems
Organized by: H. Hsu (National Yang Ming Chiao Tung University, Taiwan) and Y. Juan (National Taipei University of Technology, Taiwan)