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Data-driven surrogate model approach for improving the performance of reactive transport simulations

Authors
/persons/resource/janisj

Jatnieks,  Janis
1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/delucia

De Lucia,  M.
3.4 Fluid Systems Modelling, 3.0 Geochemistry, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/dransch

Dransch,  D.
1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/sips

Sips,  M.
1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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1891890.pdf
(Publisher version), 364KB

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Citation

Jatnieks, J., De Lucia, M., Dransch, D., Sips, M. (2016): Data-driven surrogate model approach for improving the performance of reactive transport simulations. - Energy Procedia, 447-453.
https://doi.org/10.1016/j.egypro.2016.10.047


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1891890
Abstract
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