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Fast uncertainty quantification of spent nuclear fuel with neural networks
Albà, A., Adelmann, A., Münster, L., Rochman, D., & Boiger, R. (2024). Fast uncertainty quantification of spent nuclear fuel with neural networks. Annals of Nuclear Energy, 196, 110204 (8 pp.). https://doi.org/10.1016/j.anucene.2023.110204
Isotope diffusive exchange experiments for deriving porewater isotope composition in low-permeability rocks - improvements in experimental procedure and data processing
Aschwanden, L., Waber, H. N., Eichinger, F., & Gimmi, T. (2024). Isotope diffusive exchange experiments for deriving porewater isotope composition in low-permeability rocks - improvements in experimental procedure and data processing. Applied Geochemistry, 160, 105844 (14 pp.). https://doi.org/10.1016/j.apgeochem.2023.105844
Characterisation of iron-rich cementitious materials
Baral, A., Pesce, C., Yorkshire, A. S., Zhakiyeva, Z., Snellings, R., Hanein, T., … Peys, A. (2024). Characterisation of iron-rich cementitious materials. Cement and Concrete Research, 177, 107419 (26 pp.). https://doi.org/10.1016/j.cemconres.2023.107419
Machine learning based longitudinal virtual diagnostics at SwissFEL
Bettoni, S., Orlandi, G. L., Salomone, F., Boiger, R., Ischebeck, R., Xue, R., & Mostacci, A. (2024). Machine learning based longitudinal virtual diagnostics at SwissFEL. Review of Scientific Instruments, 95(1), 015110 (12 pp.). https://doi.org/10.1063/5.0179712
Reactive transport modeling of diffusive mobility and retention of TcO<sub>4</sub><sup>−</sup> in Opalinus clay
Chen, P., Van Loon, L. R., Koch, S., Alt-Epping, P., Reich, T., & Churakov, S. V. (2024). Reactive transport modeling of diffusive mobility and retention of TcO4 in Opalinus clay. Applied Clay Science, 251, 107327 (8 pp.). https://doi.org/10.1016/j.clay.2024.107327
Thermochemical data and phase equilibria of halide (Cl<sup>−</sup>, Br<sup>−</sup>, I<sup>−</sup>) containing AFm and hydrotalcite compounds
Collin, M., Prentice, D. P., Geddes, D., Provis, J. L., Ellison, K., Balonis, M., … Sant, G. N. (2024). Thermochemical data and phase equilibria of halide (Cl, Br, I) containing AFm and hydrotalcite compounds. Journal of the American Ceramic Society, 107(5), 3562-3576. https://doi.org/10.1111/jace.19665
Profiles of δ<sup>18</sup>O and δ<sup>2</sup>H in porewater of a Mesozoic rock sequence: Regional variability and relation to large-scale transport regimes
Gimmi, T., Aschwanden, L., Waber, H. N., Gaucher, E. C., Ma, J., & Traber, D. (2024). Profiles of δ18O and δ2H in porewater of a Mesozoic rock sequence: Regional variability and relation to large-scale transport regimes. Applied Geochemistry, 160, 105846 (13 pp.). https://doi.org/10.1016/j.apgeochem.2023.105846
Diffusion of HTO, <sup>36</sup>Cl and <sup>22</sup>Na in the Mesozoic rocks of northern Switzerland. II: data interpretation in terms of an electrical double layer model
Glaus, M. A., Van Loon, L. R., & Wüst, R. A. J. (2024). Diffusion of HTO, 36Cl and 22Na in the Mesozoic rocks of northern Switzerland. II: data interpretation in terms of an electrical double layer model. Applied Geochemistry, 162, 105842 (9 pp.). https://doi.org/10.1016/j.apgeochem.2023.105842
Towards a model-based interpretation of measurements of mineralogical and chemical compositions
Hauser, J., Miron, G. D., Kyas, S., Leal, A. M. M., & Gunning, J. (2024). Towards a model-based interpretation of measurements of mineralogical and chemical compositions. Mathematical Geosciences. https://doi.org/10.1007/s11004-023-10121-6
Contact-point analysis of attached-wall cavitation evolution on chemically patterned surfaces using the lattice Boltzmann method
He, X., & Peng, H. (2024). Contact-point analysis of attached-wall cavitation evolution on chemically patterned surfaces using the lattice Boltzmann method. Chemical Engineering Science, 287, 119753 (16 pp.). https://doi.org/10.1016/j.ces.2024.119753
Performance analysis of data-driven and physics-informed machine learning methods for thermal-hydraulic processes in Full-scale Emplacement experiment
Hu, G., Prasianakis, N., Churakov, S. V., & Pfingsten, W. (2024). Performance analysis of data-driven and physics-informed machine learning methods for thermal-hydraulic processes in Full-scale Emplacement experiment. Applied Thermal Engineering, 245, 122836 (17 pp.). https://doi.org/10.1016/j.applthermaleng.2024.122836
Stability and speciation of hydrated magnetite {111} surfaces from ab initio simulations with relevance for geochemical redox processes
Katheras, A. S., Karalis, K., Krack, M., Scheinost, A. C., & Churakov, S. V. (2024). Stability and speciation of hydrated magnetite {111} surfaces from ab initio simulations with relevance for geochemical redox processes. Environmental Science and Technology, 58, 935-946. https://doi.org/10.1021/acs.est.3c07202
A pore-level 3D lattice Boltzmann simulation of mass transport and reaction in catalytic particles used for methane synthesis
Khatoonabadi, M., Prasianakis, N. I., & Mantzaras, J. (2024). A pore-level 3D lattice Boltzmann simulation of mass transport and reaction in catalytic particles used for methane synthesis. International Journal of Heat and Mass Transfer, 221, 125025 (16 pp.). https://doi.org/10.1016/j.ijheatmasstransfer.2023.125025
Cation-exchange properties of the Mesozoic sedimentary sequence of Northern Switzerland and modelling of the Opalinus Clay porewater
Marques Fernandes, M., Mazurek, M., Wersin, P., Wüst, R., & Baeyens, B. (2024). Cation-exchange properties of the Mesozoic sedimentary sequence of Northern Switzerland and modelling of the Opalinus Clay porewater. Applied Geochemistry, 162, 105852 (13 pp.). https://doi.org/10.1016/j.apgeochem.2023.105852
Cements and concretes materials characterisation using machine-learning-based reconstruction and 3D quantitative mineralogy via X-ray microscopy
Mitchell, R. L., Holwell, A., Torelli, G., Provis, J., Selvaranjan, K., Geddes, D., … Kearney, S. (2024). Cements and concretes materials characterisation using machine-learning-based reconstruction and 3D quantitative mineralogy via X-ray microscopy. Journal of Microscopy. https://doi.org/10.1111/jmi.13278
Optimized thermodynamic properties of REE aqueous species (REE<sup>3+</sup> and REEOH<sup>2+</sup>) and experimental database for modeling the solubility of REE phosphate minerals (monazite, xenotime, and rhabdophane) from 25 to 300 °C
Pan, R., Gysi, A. P., Miron, G. D., & Zhu, C. (2024). Optimized thermodynamic properties of REE aqueous species (REE3+ and REEOH2+) and experimental database for modeling the solubility of REE phosphate minerals (monazite, xenotime, and rhabdophane) from 25 to 300 °C. Chemical Geology, 643, 121817 (21 pp.). https://doi.org/10.1016/j.chemgeo.2023.121817
Modeling inception and evolution of near-wall vapor thermo-cavitation bubbles via a lattice Boltzmann method
Peng, H., & He, X. (2024). Modeling inception and evolution of near-wall vapor thermo-cavitation bubbles via a lattice Boltzmann method. International Journal of Hydrogen Energy, 49(Part B), 828-849. https://doi.org/10.1016/j.ijhydene.2023.09.092
Three-dimensional modelling of cavitation bubble collapse using non-orthogonal multiple-relaxation-time lattice Boltzmann method
Peng, H., Fei, L., He, X., Carmeliet, J., Churakov, S. V., & Prasianakis, N. I. (2024). Three-dimensional modelling of cavitation bubble collapse using non-orthogonal multiple-relaxation-time lattice Boltzmann method. Ocean Engineering, 294, 116720 (19 pp.). https://doi.org/10.1016/j.oceaneng.2024.116720
Roles of wood waste biochar for chloride immobilization in GGBS-blended cement composites
Qu, F., Zhang, Y., Zhu, X., Xu, W., Poon, C. S., Li, W., & Tsang, D. C. W. (2024). Roles of wood waste biochar for chloride immobilization in GGBS-blended cement composites. Construction and Building Materials, 411, 134389 (15 pp.). https://doi.org/10.1016/j.conbuildmat.2023.134389
Pb removal efficiency by calcium carbonates: biogenic versus abiogenic materials
Roza-Llera, A., Di Lorenzo, F., Churakov, S. V., Jiménez, A., & Fernández-Díaz, L. (2024). Pb removal efficiency by calcium carbonates: biogenic versus abiogenic materials. Crystal Growth and Design, 24(1), 79-92. https://doi.org/10.1021/acs.cgd.3c00517
 

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