Current Group Member

Current and Upcoming Projects

Recent Completed Projects

Publications

  • Machine learning for thermodynamic property modeling Proceedings
    Oberwolfach Reports 23(2) · 2026
  • Symbolic regression for shared expressions – introducing partial parameter sharing Proceedings
    Parallel Problem Solving from Nature – PPSN XIX, p.251-266 · 2026
  • A shared expression to predict monomer consumption in itaconate–acrylate radical copolymerizations developed with symbolic regression Preprint
    Viktor Martinek, Marco Drache, Frederic Matussek, Moritz Baumert, Lennart Arendes, Jelena Fiosina, Ophelia Frotscher, Roland Herzog and Sabine Beuermann
    2026
  • Shape constraints in symbolic regression using penalized least squares Chapter
    Viktor Martinek, Julia Reuter, Ophelia Frotscher, Sanaz Mostaghim, Markus Richter and Roland Herzog
    Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.224-239 · 2026
  • Reference correlation of the viscosity of neon Article
    Sofia Sotiriadou, Konstantinos D. Antoniadis, Marc J. Assael, Viktor Martinek, Monika Thol and Marcia L. Huber
    International Journal of Thermophysics 47(5) · 2026
  • Fast symbolic regression benchmarking Chapter
    Advances in Swarm Intelligence, p.307-317 · 2026
  • Correlation for the viscosity of methane (CH4) from the triple point to 625 K and pressures to 1000 MPa Article
    Sofia G. Sotiriadou, Konstantinos D. Antoniadis, Marc J. Assael, Viktor Martinek and Marcia L. Huber
    International Journal of Thermophysics 47(1) · 2026
  • Entropy scaling of viscosity IV—application to 124 industrially important fluids Article
    Viktor Martinek, Ian Bell, Roland Herzog, Markus Richter and Xiaoxian Yang
    Journal of Chemical & Engineering Data 70(2), p.727-742 · 2025
  • Unit-aware genetic programming for the development of empirical equations Proceedings
    Julia Reuter, Viktor Martinek, Roland Herzog and Sanaz Mostaghim
    Parallel Problem Solving from Nature – PPSN XVIII, p.168-183 · 2024
  • Introducing thermodynamics-informed symbolic regression – a tool for thermodynamic equations of state development Other
    Viktor Martinek, Ophelia Frotscher, Markus Richter and Roland Herzog
    2023
  • Proof of concept for fast equation of state development using an integrated experimental-computational approach Article
    Ophelia Frotscher, Viktor Martinek, Robin Fingerhut, Xiaoxian Yang, Jadran Vrabec, Roland Herzog and Markus Richter
    International Journal of Thermophysics 44(7) · 2023

Software

  • Fast symbolic regression benchmarking
    2025
  • Thermodynamics-informed symbolic regression (TiSR). A tool for the thermodynamic equation of state development
    2023

Teaching

Currently Supervising

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