4725f10901- artificial intelligence for modeling diffusion advection currents in a porous medium kimoda
This tender is from the country of Germany in Europe region. The tender was published by Federal Office for the Security of Nuclear Disposal on 09 Jun 2025 for 4725f10901- artificial intelligence for modeling diffusion advection currents in a porous medium kimoda The base initiates a research project for the development of AI-based models to simulate diffusion and advection-controlled currents TDA in porous media The aim of the project is to simulate the migration of radionuclides marginal in potential host stones - clay stone rock salt and crystalline rocks - over long geological periods using AI The project uses AI and conventional numerical methods to solve transport problems and improve the modeling results AI methods such as machine learning enable more efficient and more precise predictions The aim is to reduce uncertainties in the modeling and to create well -founded forecast models for the long -term safety of geological repository The project results are also relevant for the fulfillment of the requirements and criteria of the Local Election Act Standag In addition to the numerical aspects the social implications of the use of AI are also examined In particular the transparency and traceability of the AI results are in the foreground in order to strengthen the trust of the public and stakeholders in the methods of location selection The results of the research project will support the base in evaluating the scientific results of the Federal Society for Final storage BGE MBH and further developing their own methodological approaches The project thus contributes to the fulfillment of the regulatory tasks of the base and improves the scientific basis for future security analyzes of geological depth bearings. The last date to submit your bid for this tender was 30 Jul 2025. This tender is for the companies specializing in Artificial Intelligence and similar sectors.
*The deadline for this tender has passed.
Tender Organisation:
Federal Office for the Security of Nuclear Disposal
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Tender Service:
Worldwide
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Tender CPV:
72212514 : Artificial Intelligence
Tender Document Type:
Tender Notice
Tender Description:
4725f10901- artificial intelligence for modeling diffusion advection currents in a porous medium kimoda The base initiates a research project for the development of AI-based models to simulate diffusion and advection-controlled currents TDA in porous media The aim of the project is to simulate the migration of radionuclides marginal in potential host stones - clay stone rock salt and crystalline rocks - over long geological periods using AI The project uses AI and conventional numerical methods to solve transport problems and improve the modeling results AI methods such as machine learning enable more efficient and more precise predictions The aim is to reduce uncertainties in the modeling and to create well -founded forecast models for the long -term safety of geological repository The project results are also relevant for the fulfillment of the requirements and criteria of the Local Election Act Standag In addition to the numerical aspects the social implications of the use of AI are also examined In particular the transparency and traceability of the AI results are in the foreground in order to strengthen the trust of the public and stakeholders in the methods of location selection The results of the research project will support the base in evaluating the scientific results of the Federal Society for Final storage BGE MBH and further developing their own methodological approaches The project thus contributes to the fulfillment of the regulatory tasks of the base and improves the scientific basis for future security analyzes of geological depth bearings
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