
Explore advancements in BifurcationKit.jl for analyzing periodic and homoclinic orbits, including new methods for bifurcation analysis and integration with other Julia packages.

Explore hierarchical component-based modeling using ModelingToolkit.jl for efficient simulation of complex systems. Learn to build, simplify, and analyze large-scale models with Julia's SciML ecosystem.

Discover how Julia's backend enhances model-based app development, solving the dual language problem and boosting efficiency in integrating models into deployable applications.

Explore efficient parameter estimation for dynamic models in biology using PEtab.jl. Learn to import problems, set up estimations, and choose optimal gradient computation methods.

Differentiable chemical process simulator leveraging symbolic transformations and automatic differentiation for robust flowsheeting, thermodynamic property calculations, and system-level optimization in Julia.

Explore JuliaSim's advanced modeling capabilities for industrial applications, featuring insights from Boeing on model-based design and digital engineering in aerospace product development.

Innovative workflow for personalizing cardiovascular models using Julia, combining data assimilation, sensitivity analysis, and optimization to enhance clinical decision-making and improve patient outcomes.

Explore advanced techniques for robust calibration of industrial HVAC and battery systems using ModelingToolkit.jl, focusing on overcoming challenges in data integration and parameter identification.

Explore FUSE.jl, a unified framework for fusion device design using Julia. Learn how it integrates models, enhances efficiency, and optimizes fusion power plant designs through multi-objective approaches.

Explore automated theorem proving for hybrid systems using Elenchos, a Julia package simplifying verification of ModelingToolkit.jl models with differential dynamic logic and KeYmaera X.