By: Jasmine Chokshi
Re-posted from: https://info.juliahub.com/blog/next-gen-pharmaceutical-modeling-simulation
JuliaHub has recently announced a significant expansion in its commitment to the pharmaceutical sector by doubling its investment in its newly enhanced CFR Part 11-compliant pharmaceutical platform. This move underscores JuliaHub’s dedication to accelerating innovation in drug development and pharmaceutical research through high-performance modeling and simulation.
By: Jasmine Chokshi
Re-posted from: https://info.juliahub.com/blog/a-next-gen-approach-to-modeling
ModelingToolkit.jl is a high-performance modeling framework in Julia that integrates symbolic and numeric computations, to meet the needs of scientific computing and scientific machine learning. It combines elements from symbolic computational algebra systems with both causal and acausal equation-based modeling paradigms, offering an extensible and parallelizable environment for complex system modeling.
Re-posted from: https://info.juliahub.com/blog/bridging-julia-and-c-with-cxxwrap.jl
The Julia programming language is gaining traction as a powerful tool for modeling and simulation due to its speed, ease of use, and dynamic nature. However, many legacy simulation libraries are written in C++, a language known for its efficiency and extensive ecosystem. The challenge arises when trying to integrate high-performance C++-based simulation tools into Julia workflows.