Current and Upcoming Projects
Mar 2025Feb 2028
Mar 2025Feb 2028
Recent Completed Projects
Feb 2022Feb 2025
Feb 2022Feb 2025
Publications
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Machine learning for thermodynamic property modeling ProceedingsOberwolfach Reports 23(2) · 2026doi:10.4171/owr/2026/26
BibLaTeX
@ARTICLE{HerzogMartinek:2026:1, AUTHOR = {Herzog, Roland and Martinek, Viktor}, EDITOR = {Ghattas, Omar and Heinkenschloss, Matthias and Reich, Sebastian and Schillings, Claudia}, PUBLISHER = {European Mathematical Society Publishing House}, BOOKTITLE = {Workshop: Mathematical Foundation of Digital Twins}, DATE = {2026-10}, DOI = {10.4171/owr/2026/26}, JOURNALTITLE = {Oberwolfach Reports}, NUMBER = {2}, TITLE = {Machine learning for thermodynamic property modeling}, VOLUME = {23}, } -
Symbolic regression for shared expressions – introducing partial parameter sharing ProceedingsParallel Problem Solving from Nature – PPSN XIX, p.251-266 · 2026arXiv:2601.04051 doi:10.1007/978-3-032-36229-2_16
BibLaTeX
@INPROCEEDINGS{MartinekHerzog:2026:2, AUTHOR = {Martinek, Viktor and Herzog, Roland}, PUBLISHER = {Springer Nature Switzerland}, BOOKTITLE = {Parallel Problem Solving from Nature -- PPSN XIX}, DATE = {2026-08}, DOI = {10.1007/978-3-032-36229-2_16}, EPRINT = {2601.04051}, EPRINTTYPE = {arXiv}, PAGES = {251--266}, TITLE = {Symbolic regression for shared expressions -- introducing partial parameter sharing}, } -
A shared expression to predict monomer consumption in itaconate–acrylate radical copolymerizations developed with symbolic regression Preprint2026doi:10.26434/chemrxiv.15005769/v1
BibLaTeX
@ONLINE{MartinekDracheMatussekBaumertArendesFiosinaFrotscherHerzogBeuermann:2026:1, AUTHOR = {Martinek, Viktor and Drache, Marco and Matussek, Frederic and Baumert, Moritz and Arendes, Lennart and Fiosina, Jelena and Frotscher, Ophelia and Herzog, Roland and Beuermann, Sabine}, PUBLISHER = {American Chemical Society (ACS)}, DATE = {2026-07}, DOI = {10.26434/chemrxiv.15005769/v1}, TITLE = {A shared expression to predict monomer consumption in itaconate--acrylate radical copolymerizations developed with symbolic regression}, } -
Shape constraints in symbolic regression using penalized least squares ChapterMachine Learning and Principles and Practice of Knowledge Discovery in Databases, p.224-239 · 2026arXiv:2405.20800 doi:10.1007/978-3-032-25305-7_16
BibLaTeX
@INBOOK{MartinekReuterFrotscherMostaghimRichterHerzog:2026:1, AUTHOR = {Martinek, Viktor and Reuter, Julia and Frotscher, Ophelia and Mostaghim, Sanaz and Richter, Markus and Herzog, Roland}, EDITOR = {Cerrato, Mattia and Kalinauskaitė, Danguolė and Lukoševičius, Mantas and Pechenizkiy, Mykola and Šutienė, Kristina}, PUBLISHER = {Springer Nature Switzerland}, BOOKTITLE = {Machine Learning and Principles and Practice of Knowledge Discovery in Databases}, DATE = {2026-05}, DOI = {10.1007/978-3-032-25305-7_16}, EPRINT = {2405.20800}, EPRINTTYPE = {arXiv}, PAGES = {224--239}, TITLE = {Shape constraints in symbolic regression using penalized least squares}, } -
Reference correlation of the viscosity of neon ArticleInternational Journal of Thermophysics 47(5) · 2026doi:10.1007/s10765-026-03745-3
BibLaTeX
@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}, } -
Fast symbolic regression benchmarking ChapterAdvances in Swarm Intelligence, p.307-317 · 2026arXiv:2508.14481 doi:10.1007/978-981-95-0985-0_25
BibLaTeX
@INBOOK{Martinek:2025:3, AUTHOR = {Martinek, Viktor}, PUBLISHER = {Springer Nature Singapore}, BOOKTITLE = {Advances in Swarm Intelligence}, DATE = {2026}, DOI = {10.1007/978-981-95-0985-0_25}, EPRINT = {2508.14481}, EPRINTTYPE = {arXiv}, PAGES = {307--317}, TITLE = {Fast symbolic regression benchmarking}, } -
Correlation for the viscosity of methane (CH4) from the triple point to 625 K and pressures to 1000 MPa ArticleInternational Journal of Thermophysics 47(1) · 2026doi:10.1007/s10765-025-03690-7
BibLaTeX
@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 = {2026-01}, 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}, } -
Entropy scaling of viscosity IV—application to 124 industrially important fluids ArticleJournal of Chemical & Engineering Data 70(2), p.727-742 · 2025doi:10.1021/acs.jced.4c00451
BibLaTeX
@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}, NUMBER = {2}, PAGES = {727--742}, TITLE = {Entropy scaling of viscosity IV---application to 124 industrially important fluids}, VOLUME = {70}, } -
Unit-aware genetic programming for the development of empirical equations ProceedingsParallel Problem Solving from Nature – PPSN XVIII, p.168-183 · 2024arXiv:2405.18896 doi:10.1007/978-3-031-70055-2_11
BibLaTeX
@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 = {2024-09}, 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}, } -
Introducing thermodynamics-informed symbolic regression – a tool for thermodynamic equations of state development Other2023arXiv:2309.02805
BibLaTeX
@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}, } -
Proof of concept for fast equation of state development using an integrated experimental-computational approach ArticleInternational Journal of Thermophysics 44(7) · 2023doi:10.1007/s10765-023-03197-z
BibLaTeX
@ARTICLE{FrotscherMartinekFingerhutYangVrabecHerzogRichter:2023:1, AUTHOR = {Frotscher, Ophelia and Martinek, Viktor and Fingerhut, Robin and Yang, Xiaoxian and Vrabec, Jadran and Herzog, Roland and Richter, Markus}, PUBLISHER = {Springer Science and Business Media LLC}, DATE = {2023-05}, DOI = {10.1007/s10765-023-03197-z}, JOURNALTITLE = {International Journal of Thermophysics}, NUMBER = {7}, TITLE = {Proof of concept for fast equation of state development using an integrated experimental-computational approach}, VOLUME = {44}, }
Software
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Fast symbolic regression benchmarking2025doi:10.5281/zenodo.15469873 GitHub
BibLaTeX
@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 development2023doi:10.5281/zenodo.8317546 GitHub
BibLaTeX
@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}, }
Teaching
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Mathematical Machine Learning Seminar
Currently Supervising
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Denoising Equations: Continuous and Discrete Diffusion Models for Symbolic Regression M.Sc.Supervision: Ullrich Köthe, Roland Herzog, Paul Sägert and Viktor Martinek