9th European Congress on Computational Methods in Applied Sciences and Engineering

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    • About the congress
    The main event organized by ECCOMAS is its biennial European Congress, providing a rendezvous for scientists and engineers from within Europe and around the globe. The main objective of these congresses is to provide a forum for presentation and discussion of state-of-the-art developments in scientific computing applied to engineering sciences. Equal emphasis is given to basic methodologies, scientific development and industrial applications. The…
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    ISSN

    2696-6999

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    Sessions92

    20 Years of Partially-Averaged Navier-Stokes Equations: Progress, Challenges, and FutureAccelerating scientific discovery for dynamical systems with physics-informed machine learningActive Programmability and Artificial Intelligence in Mechanical MetamaterialsAdaptive and Compliant Engineering StructuresAdvanced and efficient numerical strategies in Contact MechanicsAdvanced Discretization Schemes and Solution Strategies for Computational Structural DynamicsAdvanced Materials: Computational Analysis of Properties and PerformanceAdvanced Methods for the Geometrically Nonlinear Analysis and Optimisation of Lightweight Composite StructuresAdvanced Parallel Algorithms for Extreme-Scale SimulationsAdvancements in multi-scale, multi-physics computational methods for heterogeneous porous mediaAdvances and Applications in Meshfree, Particle, and Peridynamic MethodsAdvances in Computational MathematicsAdvances in machine learning for composite materialsAdvances In Modelling and Simulation for High-Speed AerodynamicsAdvances in natural hazards simulationAdvances in numerical methods for atmosphere and ocean dynamics simulationsAdvances in Numerical Methods for Solution Of PDEsAdvances in structural and multidisciplinary optimizationAdvances In The Design Of Architectured MetamaterialsAdvances in Turbulence Modeling using Nonlocal Derivatives, Implicit LES and Deep LearningAdvances in UQ and Data-driven Methods for Scale-resolving Turbulence SimulationsBayesian Inversion for model calibration and digital twinning in engineeringBridging Disciplines and Scales for Sustainable Cement and ConcreteCoarse Graining Turbulence: Modeling and Data-Driven Approaches and Their ApplicationsCombining Physics-Based and Data-Driven Approaches for Uncertainty QuantificationComplex Fluid Flows in Engineering: Modeling, Simulation, and OptimizationComputational & Data-Driven Approaches for Turbulent Dynamical SystemsComputational Analysis of Advanced Materials and StructuresComputational Biomechanics and ApplicationsComputational Cardiology: Modeling and Simulating the HeartComputational Challenges in Industry and Sustainable Development: Sampling, Surrogate and Multi-fidelity Models for Inverse Analysis, Uncertainty Quantification and OptimisationComputational Kinetic TheoryComputational mechanics in high-strain rate and impact dynamicsComputational Methods for Enabling Digital TwinsComputational Methods for Multiphase Flows with Liquid-Vapor TransitionComputational Methods for Soft RoboticsComputer Methods in Cell-Scale Biomechanics and MechanobiologyContributions of EU-funded projects managed by CINEA towards greener and digital transportCutting-Edge Computational Design, Optimization, and Additive Manufacturing of Revolutionary Materials and StructuresData-Driven Simulation of Flow and Multi-Physics ProblemsData-Enhanced Reduced Order ModelingDeep Learning ComputingDevelopment and Applications of Computational Methods for Digital TwinsDrag Reduction for Transport AircraftEfficient CAD-based discretization methodsElectrohydrodynamic and BeyondElectromagnetic Problems Arising in Industry: Modelling and Numerical TechniquesEngineering the Future: Advancements in Industrial Aerodynamic SimulationsExploring New Avenues for the Interaction of Numerical Methods for PDEs and Deep LearningGeneral SessionGradient-Based and Gradient-Free Optimization Methods, with emphasis on Innovative Designs for a Climate Neutral AviationHemodynamics Models for the Design of Mechanical Circulatory Support (MCS) TechnologiesHPC Simulations and AI for the Wide Industrial RealmInnovative Methods for Fluid-Structure InteractionIsogeometric MethodsLatest advancements and trends in multi-physics research for civil engineering applicationsMachine and Deep Learning Techniques Applied to Computational MechanicsMachine learning and data-driven approaches for optimization and uncertainty quantification in aerodynamicsMechanics of Wood and Biocomposites in EngineeringModeling Failure in Composite MaterialsModelling and Optimization of Functionally Graded Composites and StructuresModelling and Simulation for Additive ManufacturingModelling, monitoring and retrofitting strategies of masonry structures in seismic areasModern Approaches To Multiphase Flows in Microfluidics: bubbles, droplets, wetting, and transport in complex mediaMultidisciplinary Analysis and Optimisation (MDAO) in Large Scale and High Fidelity for Industrial ApplicationsMultidisciplinary Analysis and Optimisation (MDAO) in Large Scale and High Fidelity for Industrial ApplicationsMulti-Scale Advanced Modelling and Design of Variable-Stiffness Composite StructuresMultiscale Modeling of Vascular Growth and RemodelingNew Trends in Computational Modelling of Masonry Material and StructuresNonlinear Computational Aspects in Structural Dynamics and Engineering ScienceNovel Advances in Numerical Methods for Wave Propagation Phenomena in Complex MediaNumerical Methods for Interface-Resolved Multiphase FlowsNumerical Modeling and Data Analysis for Advancing Sustainable InnovationNumerical simulations of wind turbines and windfarmsOptimization Problems in Computational Mechanics: from Material Design to Structural AnalysisOptimization under UncertaintyPhase Field Formulation for Fracture and Its ApplicationsPhD OlympiadPhysics-Informed Machine Learning for Structural Health Monitoring: Emerging Trends and Open IssuesProspects for Green Aircraft: Critical Technologies and Operational Aspects driving Overall DesignRecent Advances in Accelerated Simulations for Solid, Fluid and Coupled Problems: Implementations and ApplicationsRecent Advances of Computational Methods in Cardiovascular and Cerebrovascular BiomechanicsRecent trends in elastic and acoustic metamaterialsReconciling Physical Fidelity, Robustness and Efficiency in Computational Fluid DynamicsRobust and Scalable Solvers in HPC: Recent Developments and Future ChallengesScientific Machine Learning for Modelling and SimulationShape and topology optimization: theoretical advances and numerical methodsStability and Sensitivity Methods for Flow Control and Industrial DesignSTS: Advanced CFD applications for complex aircraft configurationsTowards Digital Twins for InfrastructuresTowards Next-Generation Aircraft Design with High-Fidelity Simulation TechnologiesVehicle-Bridge Interaction Dynamics

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