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Position paper on high fidelity simulations for coupled processes, multi-physics and chemistry in geological disposal of nuclear waste
dc.contributor.author | Churakov, Sergey V. | |
dc.contributor.author | Claret, Francis | |
dc.contributor.author | Idiart, Andrés | |
dc.contributor.author | Jacques, Diederik | |
dc.contributor.author | Govaerts, Joan | |
dc.contributor.author | Kolditz, Olaf | |
dc.contributor.author | Prasianakis, Nikolaos | |
dc.contributor.author | Samper, Javier | |
dc.contributor.other | Xestión Sostible dos Recursos Hídricos e do Chan (AQUATERRA) | es_ES |
dc.date.accessioned | 2024-11-13T14:26:08Z | |
dc.date.available | 2024-11-13T14:26:08Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Churakov, S.V., Claret, F., Idiart, A. et al. Position paper on high fidelity simulations for coupled processes, multi-physics and chemistry in geological disposal of nuclear waste. Environ Earth Sci 83, 521 (2024). https://doi.org/10.1007/s12665-024-11832-7 | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/40109 | |
dc.description.abstract | [Abstract:] This opinion paper describes the major coupled T(Thermal)-H(Hydro)-M(Mechanical)-C(Chemical) processes in geological repository systems and the frontier of related model development. Particular focus is made on the analysis of existing approaches and open research questions with respect to the further development of coupled codes and models for realistic multi-scale simulations of repository systems. These include the use of machine learning and artificial intelligence in acceleration of computer codes; sensitivity analysis, inverse modelling and optimisation; software engineering and collaborative platforms for model development. | es_ES |
dc.description.sponsorship | This work has been financed within the framework of EURAD, the European Joint Programme on Radioactive Waste Management (Grant Agreement No 847593) and PREDIS (Pre-disposal management of radioactive waste, Euratom research and training programme, grant agreement No 945098). Funding was also provided by ENRESA, the Spanish Ministry of Science and Innovation (TED2021-130315B-I00, NextGenerationEU) PID2023-153202OB-I00), the Galician Regional Government (Grant ED431C2021/54), and Nagra, the National Cooperative for the Disposal of Radioactive Waste. Authors especially acknowledge the developments conducted in EURAD WPs ACED, DONUT, FUTURE & MAGIC. We appreciate the comments, suggestions and corrections of the two anonymous reviewers, which contributed to improve the manuscript. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C2021/54 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.relation.uri | https://doi.org/10.1007/s12665-024-11832-7 | es_ES |
dc.rights | Attribution 4.0 International License | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | T-H-M-C processes | es_ES |
dc.subject | Reactive transport | es_ES |
dc.subject | High fidelity simulations | es_ES |
dc.subject | Surrogate models | es_ES |
dc.title | Position paper on high fidelity simulations for coupled processes, multi-physics and chemistry in geological disposal of nuclear waste | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
UDC.journalTitle | Environmental Earth Sciences | es_ES |
UDC.volume | 83 | es_ES |
UDC.issue | 251 | es_ES |
dc.identifier.doi | 10.1007/s12665-024-11832-7 | |
UDC.coleccion | Investigación | es_ES |
UDC.departamento | Enxeñaría Civil | es_ES |
UDC.grupoInv | Xestión Sostible dos Recursos Hídricos e do Chan (AQUATERRA) | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/847593 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/945098 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-130315B-I00 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-153202OB-I00/ES/MODELOS ACOPLADOS DE TRANSPORTE REACTIVO DE ALTA FIDELIDAD PARA MEDIOS POROSOS Y METAMODELOS (MACHINE-LEARNING) CON REACCIONES QUÍMICAS Y MICROBIOLÓGICAS (HERCULES) | es_ES |
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