Conferences
19–21 June 2024, Prague, Czech Republic
First CEACM Int. Conference on Synergy between Multiphysics/Multiscale Modeling and Machine Learning
The main idea of this thematic conference is to examine the recent advances of mechanics and applied mathematics in a currently very active research domain of multi-scale modeling and computations and their application to solids, fluids, structures, systems and different multi-physics problems. One of the motivations for this workshop is to investigate the complementarity of classical multi-physics/multi-scale approaches and model-building approaches based on the use of machine learning algorithms. The knowledge accumulated through the long-term efforts of computational mechanics experts provides an a priori selection of efficient reduced models built with appropriate assumptions and kinematic constraints. Classical structural models are also proving to be very useful for building relevant multi-scale and multi-physics models. In parallel, there are many advances in the use of artificial intelligence and statistical data analysis algorithms, or machine learning approaches to building models for mechanics. How can such approaches be developed in synergy? Can they benefit from each other’s advances? Can model building skills be reduced to the application of artificial intelligence algorithms? It is an explicit goal of this thematic conference, in the true spirit of CEACM, to bring these different communities together, and thus provide a sound basis for a fruitful exchange of ideas among them. The conference also seeks to provide a platform for learning from some of the worlds’ leading specialists in the fields of aerospace, civil and mechanical engineering, material science, and in the design and analysis of numerical algorithms from applied mathematics.
Contact E-mail: [email protected]
