
Model condensation in headlamps using DPM, EWF, and VOF approaches. Learn particle absorption, film thickness, and transitions between models for accurate simulation.

Model fluidized bed reactors using DEM collision, DDPM, and combustion in Ansys Fluent. Learn to incorporate particle interactions for accurate simulations.

Explore aerobic digestion in bioreactors using Ansys Fluent, covering Monod reaction, biomass growth, and heterogeneous reactions.

Explore evacuated U-tube solar collectors using DO model ANSYS Fluent simulation for efficient solar energy collection and analysis.

Explore spray painting simulation using DPM and Eulerian wall film in Ansys Fluent, featuring DEFINE_DPM_INJECTION_INIT macro implementation.

Explore ice formation on aerodynamic surfaces at high altitudes using Ansys Icing, focusing on flow, water deposition, and freezing processes with subcooled water droplets.

Explore gas dissolution in liquids under high pressure using Ansys Fluent, applying Henry's Law to analyze aerated drink behavior and gas solubility.

Optimize wind farm energy production using deep reinforcement learning and large-scale simulations. Boost annual output by 1-2% through advanced yaw control strategies.

Explore Google Cloud's HPC solutions for critical workloads, infrastructure advancements, and customer deployments in computational sciences and AI/ML.

Explore Pangu-Weather, an AI-based method for accurate medium-range global weather forecasting using 3D deep networks and Earth-specific priors, outperforming traditional numerical prediction systems.

Learn to simulate fluid flow over a backward-facing step using OpenFOAM's blockMesh utility. Master mesh generation, boundary conditions, and result visualization for this classic CFD problem.

Master STL meshing in OpenFOAM using snappyHexMesh. Learn file conversion, scaling, BlockMesh creation, parallel processing, mesh refinement, and boundary condition setup for CFD simulations.

Explore deep learning applications in modeling and controlling turbulent flows, from flow reconstruction to reinforcement learning for flow control, with insights on CNN architectures and transfer learning.

Explore Covid-19 transmission modeling across scales, from high-resolution simulations of respiratory aerosols to broader exposure assessment tools, aiding in pandemic mitigation strategies.

Explore high-resolution digital twins of vascular anatomy to inform disease treatment. Learn how data science and physics-based modeling combine to address personalized medicine challenges.

Explore autoencoders for aerodynamic predictions, focusing on flow past wing geometries. Learn about non-linear compression, latent representations, and uncertainty quantification in data-driven modeling.

Explore Neural Differentiable Physics, unifying numerical PDEs and deep learning for enhanced computational modeling of complex physical systems. Learn innovative SciML approaches integrating physics principles with AI.

Automate Computational Fluid Dynamics processes using AirShaper's innovative techniques. Enhance efficiency and accuracy in fluid flow simulations.

Explore data-driven approaches for high-fidelity computational fluid dynamics in this advanced lecture on scientific machine learning and CFD techniques.

Explore data-driven high fidelity CFD, covering shock droplet interaction, icing, multiscale analysis, DG schemes, and scientific machine learning applications in computational fluid dynamics.

Explore AI's transformative impact on weather and climate prediction, revolutionizing forecasting techniques and enhancing our understanding of atmospheric dynamics.