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

  • Sofia G. Sotiriadou, Konstantinos D. Antoniadis, Marc J. Assael, Viktor Martinek and Marcia L. Huber
    Correlation for the viscosity of methane (CH4) from the triple point to 625 K and pressures to 1000 MPa
    International Journal of Thermophysics 47(1), 2025
    bibtex
    @ARTICLE{SotiriadouAntoniadisAssaelMartinekHuber:2025:1,
      AUTHOR = {Sotiriadou, Sofia G. and Antoniadis, Konstantinos D. and Assael, Marc J. and Martinek, Viktor and Huber, Marcia L.},
      PUBLISHER = {Springer Science and Business Media LLC},
      DATE = {2025-12},
      DOI = {10.1007/s10765-025-03690-7},
      JOURNALTITLE = {International Journal of Thermophysics},
      NUMBER = {1},
      TITLE = {Correlation for the viscosity of methane (CH4) from the triple point to 625~K and pressures to 1000~MPa},
      VOLUME = {47},
    }
  • 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},
    }

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.8317546},
      TITLE = {Thermodynamics-informed symbolic regression (TiSR). A tool for the thermodynamic equation of state development},
    }

Recent Teaching