Current Group Member

You can find my CV here.

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

  • Fast symbolic regression benchmarking
    Advances in Swarm Intelligence, p.307-317, 2025
    bibtex
    @INBOOK{Martinek:2025:3,
      AUTHOR = {Martinek, Viktor},
      PUBLISHER = {Springer Nature Singapore},
      BOOKTITLE = {Advances in Swarm Intelligence},
      DATE = {2025-10},
      DOI = {10.1007/978-981-95-0985-0_25},
      PAGES = {307--317},
      TITLE = {Fast symbolic regression benchmarking},
    }
  • Fast symbolic regression benchmarking, 2025
    bibtex
    @ONLINE{Martinek:2025:2,
      AUTHOR = {Martinek, Viktor},
      DATE = {2025-08},
      EPRINT = {2508.14481},
      EPRINTTYPE = {arXiv},
      TITLE = {Fast symbolic regression benchmarking},
    }
  • 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
    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
    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},
    }

Latest Software

  • Fast symbolic regression benchmarking, 2025
    bibtex
    @SOFTWARE{Martinek:2025:1,
      AUTHOR = {Martinek, Viktor},
      URL = {https://github.com/viktmar/FastSRB/},
      DATE = {2025},
      DOI = {10.5281/zenodo.15469873},
      TITLE = {Fast symbolic regression benchmarking},
    }
  • Thermodynamics-informed symbolic regression (TiSR). A tool for the thermodynamic equation of state development, 2023
    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, Viktor Martinek and (Statkraft)