CECAM

Created in 1969, CECAM is the longest-standing international organization for fundamental and applied research in computational science. Its core funding is guaranteed by 28 member organizations (Universities, Ministries for Research, National Research Organizations…), and its activities are deployed in a network of 18 nodes in Europe and the United States. CECAM Headquarters is located at EPF-Lausanne. The members and the nodes represent a grassroots network of excellence, that has enabled CECAM to foster the development of many techniques that have established simulations and modeling as a critical component of modern science with a strong interdisciplinary character and, recently, a strong focus on societal benefits. Core activities at CECAM are i) scientific workshops and schools (in person and on-line) on algorithmic and software development and applications; ii) brainstorming and problem-solving events; iii) collaborative research projects for Europe and beyond; iv) the sponsorship of an international visitors program; v) the development of sustainable tools for community training and research. The cornerstone of CECAM’s work is its yearly flagship program of events, selected via independent reviewing and rigorous ranking of proposals. CECAM’s in-person events attract to its network around 3.000 scientists at different stages of their career per year. CECAM is also engaged in several cooperative research projects, providing a venue for discussion and dissemination, long-term, sustainable, hosting of community tools (e.g. software), and strong scientific expertise via its grassroot network of established and emerging leaders in computational science.

Role in the project

CECAM will be involved in WP4, WP7 and WP8 aiding the development and deployment of scientific software, AI models and workflows in the European Environment for Scientific Software Installations (EESSI) platform. In particular, assistance to the consortium partners is provided for the development of workflows interfacing Molecular Dynamic (MD) and Lattice-Boltzmann (LBM) calculations during WP4 using the AiiDA framework in order to include provenance tracking and to facilitate compliance with the FAIR (Findable Accessible Interoperable Reusable) guiding principles for scientific data management.
In WP7 support will be provided for the hosting of the surrogate generation codes, previously published on public GitHub repositories, on EESSI, followed by the deployment of AI modeling tools, both physics-informed and not, during WP8.
CECAM will also be involved in WP14 related to dissemination, where the tools provided throughout the project are made available to end-users and stakeholders and will be presented in at least one dedicated workshop.