Actinide thermodynamics department
Research
The department of “Thermodynamics of Actinides” is hosting a significant part of the analytical backbone of the institutes, e.g. mass spectrometry, atomic emission spectrometry, elemental analyses, powder diffraction, vibrational and nuclear magnetic resonance spectroscopy. This allows us to work on several steps in the thermodynamics value chain.
From a chemical point of view, the focus is set on heavy metal contaminants, namely long-lived radionuclides. The derivation of parameters describing hydrolysis, aqueous complexation, surface reactions or solubilities are combined with structural investigations to validate the species set forming reactions, enabling mechanistic models. Such parameters are fed into respective databases after verification. Gaps still remaining can be closed by applying different estimation methods, from mineral analogies to Linear Free Energy Relationships.
Combined with field data (mineralogical composition, porosity, pH, redox potential, ionic strength, temperature, or CO2 partial pressure), geochemical speciation patterns and radionuclide retardation can then be computed for complex systems on different scales. To name just a few, we worked on cementitious barriers with organic additives, with real-world crystalline samples or with Chornobyl soils. There, also, geostatistics helps to map the heterogeneities observed, and sensitivity / uncertainty analysis not only increases confidence in computational results but supports also the identification of critical parameters and submodels.
Quite recently, these approaches were complemented by machine learning methods, this will eventually lead to digital twins for nuclear waste repositories. Eventually, this shall bridge the distance between atomistic investigations and the large-scale prognostics required e.g. in performance assessment covering distances of several km over up to one million years.
The actual major research topics of our department can be summarized as follows:
-
Spectroscopic characterization of heavy metal species in aqueous solutions and at mineral surfaces.
-
(Radio)chemical analyses of contaminant elements as well as matrix compounds down to the ultratracer level.
-
Set-up of thermodynamic data bases for prospective deep nuclear waste repositories.
Latest publication
Lability of Uranium in a Mine-Impacted Wetland 70 Years after the Contamination
Montavon, G.; Nivesse, A.-L.; Martin, A.; Arnold, T.; Sachs, S.; Bok, F.; Scheinost, A.; Stumpf, T.; Coppin, F.; Gourgiotis, A.; Del Nero, M.; Chardon, P.; Landesman, C.
Abstract
Understanding the behaviour of contaminants in soils and their transport in water is crucial. This study focuses on the mobility of uranium (U) in a wetland contaminated 70 years ago by the first uranium mining activities in France. Combining laboratory and field studies, we used a multi-scale approach to connect molecular processes to operational parameters. Eight core samples were collected from an area of approximately 1000 m². Laboratory desorption-based studies reveal a small fraction of labile U in the contaminated soil, which was further corroborated by DET (Diffusive Equilibrium in Thin films) /DGT (Diffusive Gradients in Thin films) passive sampler data monitored over time. The smart-Kd approach, combined with a comprehensive system characterization, identifies this labile fraction as U(VI) primarily adsorbed on 2:1 clay minerals, which is in line with X-ray Absorption Spectroscopy (XAS) spectroscopy. XAS data also unveil an inert U fraction composed of UO₂ particles, that were also confirmed by electron microscopy, and adsorbed U(IV) monomers. This study highlights the necessity of integrated approaches in investigating contaminant mobility to provide reliable operational parameters for incorporation into reactive transport models.
Keywords: Lability; Speciation; DET/DGT samplers; XAS; Smart-Kd
Involved research facilities
- Rossendorf Beamline at ESRF DOI: 10.1107/S1600577520014265
Related publications
- DOI: 10.1107/S1600577520014265 is cited by this (Id 39165) publication
-
Environmental Science & Technology 59(2025), 26661-26671
DOI: 10.1021/acs.est.5c04144
Downloads
- Secondary publication expected from 16.12.2026
Permalink: https://www.hzdr.de/publications/Publ-39165
Team
Head | |||||
| Name | Bld./Office | +49 351 260 | |||
|---|---|---|---|---|---|
| Prof. Dr. Vinzenz Brendler | 801/P250 | 2430 | v.brendler@hzdr.de | ||
Employees | |||||
| Name | Bld./Office | +49 351 260 | |||
| Dr. Frank Bok | 801/P202 | 3551 | f.bok@hzdr.de | ||
| Rodrigo Castro Biondo | r.castro-biondo | ||||
| Alexandra Duckstein | 801/P153 | 2774 | a.duckstein | ||
| Dr. Stephan Hilpmann | 801/P306 | 2860 | s.hilpmann | ||
| Dr. Jerome Kretzschmar | 801/P207 | 3136 | j.kretzschmar | ||
| Dr. Elmar Plischke | e.plischke | ||||
| Dr. Solveig Pospiech | 801/P205 | 2128 | s.pospiech | ||
| Dr. Anke Richter | 801/P202 | 2426 | anke.richter | ||
| Raj Sarkar | 801/P103 | 2720 | r.sarkar | ||
| Dr. Katja Schmeide | 801/P208 | 2436 2513 | k.schmeide | ||
| Salim Shams Aldin Azzam | 801/P103 | 2720 | s.shams | ||
| Susanne Zechel | 801/P352 | 3328 | s.zechel | ||
Other employees | |||||
| Name | Bld./Office | +49 351 260 | |||
| Liya Tomy | F100/431 | 4438 | l.tomy | ||
Analytics
Head | |||||
| Name | Bld./Office | +49 351 260 | |||
|---|---|---|---|---|---|
| Dr. Harald Foerstendorf | 801/P251 | 3664 2504 | h.foerstendorf | ||
Employees | |||||
| Name | Bld./Office | +49 351 260 | |||
| Sabrina Beutner | 801/P203 | 2429 2528 | s.beutner | ||
| Tim Gitzel | 801/P316 | 2025 2517 | t.gitzel | ||
| Dominik Goldbach | 801/P203 | 3198 | d.goldbach | ||
| Karsten Heim | 801/P201 | 2434 2504 | k.heim | ||
| Sylvia Schöne | 850/102.1 | 2526 3198 | s.schoene@hzdr.de, s.guertler | ||

