Current and Upcoming Projects

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

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 Sotiriadou, Konstantinos D. Antoniadis, Marc J. Assael, Viktor Martinek, Monika Thol and Marcia L. Huber
  Reference correlation of the viscosity of neon
  International Journal of Thermophysics 47(5), 2026
  
  doi:10.1007/s10765-026-03745-3
  bibtex

  @ARTICLE{SotiriadouAntoniadisAssaelMartinekTholHuber:2026:1,
    AUTHOR = {Sotiriadou, Sofia and Antoniadis, Konstantinos D. and Assael, Marc J. and Martinek, Viktor and Thol, Monika and Huber, Marcia L.},
    PUBLISHER = {Springer Science and Business Media LLC},
    DATE = {2026-04},
    DOI = {10.1007/s10765-026-03745-3},
    JOURNALTITLE = {International Journal of Thermophysics},
    NUMBER = {5},
    TITLE = {Reference correlation of the viscosity of neon},
    VOLUME = {47},
  }

• Viktor Martinek and Roland Herzog
  Symbolic regression for shared expressions: introducing partial parameter sharing, 2026
  
  arXiv:2601.04051
  bibtex

  @ONLINE{MartinekHerzog:2026:1,
    AUTHOR = {Martinek, Viktor and Herzog, Roland},
    DATE = {2026-01},
    EPRINT = {2601.04051},
    EPRINTTYPE = {arXiv},
    TITLE = {Symbolic regression for shared expressions: introducing partial parameter sharing},
  }

• 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
  
  doi:10.1007/s10765-025-03690-7
  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},
  }

• Viktor Martinek
  Fast symbolic regression benchmarking
  Advances in Swarm Intelligence, p.307-317, 2025
  
  arXiv:2508.14481
  doi:10.1007/978-981-95-0985-0_25
  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},
    EPRINT = {2508.14481},
    EPRINTTYPE = {arXiv},
    PAGES = {307--317},
    TITLE = {Fast symbolic regression benchmarking},
  }

Latest Software

• Viktor Martinek
  Fast symbolic regression benchmarking, 2025
  
  doi:10.5281/zenodo.15469873
  https://github.com/viktmar/FastSRB/
  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},
  }

• Viktor Martinek
  Thermodynamics-informed symbolic regression (TiSR). A tool for the thermodynamic equation of state development, 2023
  
  doi:10.5281/zenodo.8317546
  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.8317546},
    TITLE = {Thermodynamics-informed symbolic regression (TiSR). A tool for the thermodynamic equation of state development},
  }

Recent Teaching

• 2024 SS
  Mathematical Machine Learning (Seminar)

Currently Supervising

• M.Sc. Thesis of Mara-Eliana Popescu:
  Diffusion Models for Symbolic Regression
  M.Sc. Data and Computer Science, Heidelberg University
  Supervision: Ullrich Köthe, Roland Herzog, Paul Sägert and Viktor Martinek