Skip to content
View janpeter19's full-sized avatar
  • Vascaia AB
  • Stockholm

Block or report janpeter19

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
janpeter19/README.md
  • 👋 Hi, I’m @janpeter19

  • 👀 I’m interested in Modelica and especially biotechnical applications, see paper.

  • 🌱 I’m currently learning how to reach out more using Google Colab. I have prepared several examples for you starting with the repository BPL_TEST2_Batch. Here you follow a Jupyter notebook and can continue interact using Python and modifiy the simulations and graphs shown. More about the technology used here and about the modelling here. No installation needed!

    Google Colab major announcements and the technical release-notes.

    Note 2025-03-27 Recently i have made some new bioprocess examples and updated some old, within the current notbooks.

    • BPL_YEAST_AIR_Fedbatch - Here is now a section illustrating the impact of low dissolved oxygen levels in a homogenous bioreactor. This subject is important for understanding scale-up but clear-cut simple dynamic experiments in the lab scale are difficult to find. Instead people in the 80s and 90s focused on the more complicated two-reactor setups. These experiments are the focus of a notebook to be made, before long.

    • BPL_CHO_Fedbatch - The model is updated and includes a state for lysed cell mass and the toxic impact that material may have on specific growth rate. Now the simulations can capture the decline of viable cell mass during later part of cultivation often found.

    • BPL_CHO_Perfusion_cspr - This model is also updated and includes a state for lysed cell mass and toxic impact that the material may have. The phenomena is however not yet illustrated in this notebook, but the model is there. Try yourself!

    Further, the PDF-version of notebooks have been updated and corrected and now truncation has been eliminated. Each notebook has been locally printed to a PDF using the package nbconvert together with MikTex in a Windows environment.

    Earlier notes you find here.

  • 💞️ I’m looking forward to collaborate on expanding the examples of use of Modelica in Colab. I also tailor-make models of biotechnical processes for your needs on a consultancy basis. Work with processes involves broader data analysis and is a part of my work, and simulation is just one tool, but an important one. Digital Twins is a catchword these days and part of what I do.

  • 📫 You can reach me at: jan.peter.axelsson@vascaia.se

Pinned Loading

  1. BPL_TEST2_Batch BPL_TEST2_Batch Public

    Material for standard text book model of batch cultivation.

    Jupyter Notebook 2

  2. BPL_TEST2_Chemostat BPL_TEST2_Chemostat Public

    Material for standard text book model of chemostat (continuous) cultivation.

    Jupyter Notebook 1

  3. BPL_TEST2_Fedbatch BPL_TEST2_Fedbatch Public

    Material for standard text book model of fedbatch cultivation.

    Jupyter Notebook 3

  4. BPL_YEAST_AIR_Fedbatch BPL_YEAST_AIR_Fedbatch Public

    Material for model of aerated fedbatch cultivation of yeast.

    Jupyter Notebook 2

  5. BPL_CHO_Fedbatch BPL_CHO_Fedbatch Public

    Material for model of fedbatch cultivation of CHO cells.

    Jupyter Notebook 2

  6. BPL_CHO_Perfusion_cspr BPL_CHO_Perfusion_cspr Public

    Material for model of perfusion cultivation of CHO cells

    Jupyter Notebook 1