This community collects the public outcomes of the DCoMEX project, toolkits and other resources.

DCoMEX is a HORIZON 2020 project that aims to provide unprecedented advances to the field of computational mechanics by developing novel numerical methods enhanced by artificial intelligence (AI) algorithms that are deployed with scalable and open source software to exascale computing architectures. A key innovation of our project is the development of a novel scalable library of AI-enhanced algorithms for the solution of large scale sparse linear system of equations that lay at the core of computational mechanics. Our methods fuse physics-constrained machine learning with efficient block-iterative methods and incorporate experimental data at multiple levels of fidelity to quantify model uncertainties. Efficient deployment of these methods in exascale computing architectures will provide scientists and engineers with unprecedented capabilities for predictive simulations of mechanical systems in applications ranging from bioengineering to manufacturing.