Current Group Member

M.Sc. Viktor Martinek

PhD Student

Current and Upcoming Projects

Machine Learning and Optimal Experimental Design for Thermodynamic Property Modeling
Start: 2025-03-01
End: 2028-02-29
Principal Investigators: Roland Herzog, Markus Richter
Staff: Viktor Martinek, Ophelia Frotscher
Funded by: DFG within the Priority Program funding scheme
Part of: Machine Learning in Chemical Engineering (SPP 2331)

Recent Completed Projects

Machine Learning and Optimal Experimental Design for Thermodynamic Property Modeling
Start: 2022-02-01
End: 2025-02-28
Principal Investigators: Roland Herzog, Markus Richter
Staff: Viktor Martinek, Ophelia Frotscher
Funded by: DFG within the Priority Program funding scheme
Part of: Machine Learning in Chemical Engineering (SPP 2331)

Latest Publications

  • Viktor Martinek, Ian Bell, Roland Herzog, Markus Richter and Xiaoxian Yang
    Entropy scaling of viscosity IV---application to 124 industrially important fluids
    Journal of Chemical \& Engineering Data, 2025
    doi:10.1021/acs.jced.4c00451
    bibtex 
    @ARTICLE{MartinekBellHerzogRichterYang:2025:1,
  AUTHOR = {Martinek, Viktor and Bell, Ian and Herzog, Roland and Richter, Markus and Yang, Xiaoxian},
  PUBLISHER = {American Chemical Society (ACS)},
  DATE = {2025-01},
  DOI = {10.1021/acs.jced.4c00451},
  JOURNALTITLE = {Journal of Chemical \& Engineering Data},
  TITLE = {Entropy scaling of viscosity IV---application to 124 industrially important fluids},
}
  • Viktor Martinek, Julia Reuter, Ophelia Frotscher, Sanaz Mostaghim, Markus Richter and Roland Herzog
    Shape constraints in symbolic regression using penalized least squares, 2024
    arXiv:2405.20800
    bibtex 
    @ONLINE{MartinekReuterFrotscherMostaghimRichterHerzog:2024:1,
  AUTHOR = {Martinek, Viktor and Reuter, Julia and Frotscher, Ophelia and Mostaghim, Sanaz and Richter, Markus and Herzog, Roland},
  DATE = {2024-05},
  EPRINT = {2405.20800},
  EPRINTTYPE = {arXiv},
  TITLE = {Shape constraints in symbolic regression using penalized least squares},
}
  • Julia Reuter, Viktor Martinek, Roland Herzog and Sanaz Mostaghim
    Unit-aware genetic programming for the development of empirical equations
    Parallel Problem Solving from Nature – PPSN XVIII, p.168-183, 2024
    arXiv:2405.18896 doi:10.1007/978-3-031-70055-2_11
    bibtex 
    @INPROCEEDINGS{ReuterMartinekHerzogMostaghim:2024:2,
  AUTHOR = {Reuter, Julia and Martinek, Viktor and Herzog, Roland and Mostaghim, Sanaz},
  PUBLISHER = {Springer Nature Switzerland},
  BOOKTITLE = {Parallel Problem Solving from Nature – PPSN XVIII},
  DATE = {2024},
  DOI = {10.1007/978-3-031-70055-2_11},
  EPRINT = {2405.18896},
  EPRINTTYPE = {arXiv},
  PAGES = {168--183},
  TITLE = {Unit-aware genetic programming for the development of empirical equations},
}
  • Viktor Martinek, Ophelia Frotscher, Markus Richter and Roland Herzog
    Introducing thermodynamics-informed symbolic regression -- a tool for thermodynamic equations of state development, 2023
    arXiv:2309.02805
    bibtex 
    @ONLINE{MartinekFrotscherRichterHerzog:2023:1,
  AUTHOR = {Martinek, Viktor and Frotscher, Ophelia and Richter, Markus and Herzog, Roland},
  DATE = {2023-09},
  EPRINT = {2309.02805},
  EPRINTTYPE = {arXiv},
  TITLE = {Introducing thermodynamics-informed symbolic regression -- a tool for thermodynamic equations of state development},
}

Latest Software

  • Viktor Martinek
    Thermodynamics-informed symbolic regression (TiSR). A tool for the thermodynamic equation of state development, 2023
    doi:10.5281/zenodo.8317547 https://github.com/scoop-group/TiSR/
    bibtex 
    @SOFTWARE{Martinek:2023:1,
  AUTHOR = {Martinek, Viktor},
  URL = {https://github.com/scoop-group/TiSR/},
  DATE = {2023},
  DOI = {10.5281/zenodo.8317547},
  TITLE = {Thermodynamics-informed symbolic regression (TiSR). A tool for the thermodynamic equation of state development},
}

Recent Teaching

Currently Supervising

  • M.Sc. Thesis of Julius Meyer Ohlendorf:
    Optimization of Battery Storage Systems in Power Markets using Reinforcement Learning
    M.Sc. Physik, Heidelberg University
    Supervision: Ullrich Köthe, Roland Herzog and Viktor Martinek
    (mit Statkraft)
  • M.Sc. Thesis of Jeanine Wippermann:
    Inverse Reinforcement Learning in Trust Games
    M.Sc. Scientific Computing, Heidelberg University
    Supervision: Roland Herzog, Georgia Koppe and Viktor Martinek