High quality experimental data, realistic, and spectroscopically confirmed surface species with ascertained stoichiometries are state-of-the-art for deriving thermodynamic constants for surface complexation models (SCMs) of well-defined surfaces. As these models manage to capture more and more physical details, protonation and ion affinity constants approach towards reliable thermodynamic parameters. From the early 1960s where “trial and error” as well as graphical approaches were the only available options for model calibration, to the introduction of numerical fitting software as well as shell optimizers, the world of surface complexation modeling underwent spectacular developments, one of the latest being the introduction and application of...
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Research Article|
March 28, 2025
History, Algorithms, Model Uncertainty, and Common Pitfalls of Traditional SCM Fitting Procedures Available to Purchase
Norbert Jordan;
Helmholtz-Zentrum Dresden-Rossendorf e.V., Institute of Resource Ecology, Bautzner Landstraße 400, 01328 Dresden, Germany
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Frank Heberling;
Institute for Nuclear Waste Disposal, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
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Jeffrey Kelling;
Helmholtz-Zentrum Dresden – Rossendorf e.V., Institute of Radiation Physics, Bautzner Landstraße 400, 01328 Dresden, Germany Faculty of Natural Sciences, Chemnitz University of Technology, Straße der Nationen 62, Chemnitz 09111, Germany
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Johannes Lützenkirchen
Institute for Nuclear Waste Disposal, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
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Helmholtz-Zentrum Dresden-Rossendorf e.V., Institute of Resource Ecology, Bautzner Landstraße 400, 01328 Dresden, Germany
Institute for Nuclear Waste Disposal, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Helmholtz-Zentrum Dresden – Rossendorf e.V., Institute of Radiation Physics, Bautzner Landstraße 400, 01328 Dresden, Germany Faculty of Natural Sciences, Chemnitz University of Technology, Straße der Nationen 62, Chemnitz 09111, Germany
Publisher: Mineralogical Society of America
First Online:
02 Apr 2025
Copyright © 2025 by the Mineralogical Society of America
Mineralogical Society of America
Reviews in Mineralogy and Geochemistry (2025) 91A (1): 383–411.
Article history
First Online:
02 Apr 2025
Citation
Norbert Jordan, Frank Heberling, Jeffrey Kelling, Johannes Lützenkirchen; History, Algorithms, Model Uncertainty, and Common Pitfalls of Traditional SCM Fitting Procedures. Reviews in Mineralogy and Geochemistry 2025;; 91A (1): 383–411. doi: https://doi.org/10.2138/rmg.2024.91A.12
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