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Learn how to prepare, execute, and analyze CFD and FSI cases with our best practices and tips. Choose the right software, define the problem, validate the model…
Learn how to improve the quality, interoperability, reuse, analysis, and visualization of your CFD data in biofluid research.
Learn how to use sparse grids for fluid modeling in CFD, and what are the best methods and tools for creating and manipulating them.
Learn how CFD can simulate and optimize the complex processes involved in surface and catalytic combustion for various industries.
Learn the main differences between LES and DNS, two numerical methods for studying turbulent flows in CFD. Find out the advantages and disadvantages of each method,…
Learn how proper orthogonal decomposition (POD) can reduce the complexity and size of CFD models, while preserving the essential features and dynamics of the fluid…
Learn how to select numerical schemes for direct numerical simulation (DNS) of turbulent flows based on accuracy, stability, and computational cost.
Learn how to validate CFD and ML models for combustion problems, by choosing appropriate data sets, applying suitable validation metrics, performing sensitivity…
Learn how to model bubble coalescence in CFD simulations using different approaches and techniques. Find out how to validate and optimize your results.
Learn about the advantages and limitations of vortex methods, a class of CFD methods that use vortices to simulate inviscid flows in various scenarios.
Learn about the current trends and developments in nanofluidic research and industry, and how fabrication and characterization techniques enable nanofluidic design…
Learn how to use feedback and learning from CFD validation to enhance your model accuracy, reliability, and optimization.
Learn about the factors that affect bubble behavior and coalescence in multiphase flows and how CFD can simulate and optimize them.
Learn how to use new tools and techniques to visualize and analyze your micro- and nanofluidics CFD data in this article.
Learn how to choose the best meshing and discretization strategies for CFD simulation of bubble flows, and how to use other techniques to improve your results.
Learn how to use computational fluid dynamics (CFD) and experimental measurements to simulate and validate combustion processes.
Learn how machine learning can enhance data, uncertainty, models, and knowledge in computational fluid dynamics.
Learn how to handle bubble breakup and coalescence in CFD with different methods, such as PBMs, LEMs, VOFs, and hybrid models.
Learn how to communicate and collaborate with clinicians and biologists when using CFD for biofluids. Find out how to define, choose, implement, validate, and apply…
Learn how to assess the quality and suitability of different meshing techniques for high-order CFD simulations. Discover the advantages and challenges of various…
Learn about the most common and critical fluid-structure interaction (FSI) scenarios and cases, and how computational fluid dynamics (CFD) can help you solve them.
Learn about the main challenges and limitations of DNS for CFD applications, such as computational cost, boundary conditions, data analysis, validation and…
Learn about the best methods and metrics for quantifying uncertainty in CFD models using machine learning, such as surrogate models, Bayesian methods, and…
Learn how multiphase CFD can model complex phenomena and improve engineering designs in various industries.
Learn about the criteria and candidates for plasma-facing materials in fusion reactors, and how CFD can simulate and optimize their behavior.
Learn how to quantify and reduce CFD errors and propagate them to outputs of interest, based on AIAA and ERCOFTAC guidelines.
Learn how to select, visualize, communicate, and improve ROM for CFD nonlinear and chaotic systems with this informative and practical article.