About CM3P 2027
The 6th International Conference on Computational Methods for Multi-scale, Multi-uncertainty and Multi-physics Problems (CM3P 2027) will be held in Porto, Portugal, on 6-8 July 2027, organised by the Faculty of Engineering of the University of Porto (FEUP) and the Zienkiewicz Institute for Modelling, Data and AI at Swansea University, under the auspices of IACM / ECCOMAS.
Many of the most pressing problems in science and engineering – from advanced composites and additively manufactured components to energy systems, geomaterials and living tissues – are governed by physical processes that interact across widely separated length and time scales, and are subject to uncertainty in material properties, loading, geometry and the models themselves. Predictive simulation of such systems requires these three challenges – multiple scales, multiple physics and multiple sources of uncertainty (M3) – to be tackled together rather than in isolation.
Over the past two decades the field has advanced rapidly, driven by new mathematical formulations such as computational homogenization, asymptotic analysis and variational multiscale methods; by robust strategies for coupling models and codes; by probabilistic and non-probabilistic approaches to uncertainty quantification; and by the steady growth of high-performance computing. Today, the convergence of physics-based modelling with data-driven methods – reduced-order and surrogate models, physics-informed machine learning and digital twins – is opening new routes to simulations that are both predictive and affordable, and is bringing the M3 agenda closer to engineering design and decision-making.
CM3P was launched in Porto in 2016 as an EUROMECH Colloquium and has since developed into an established international conference series, held as ECCOMAS Thematic Conferences in 2017, 2019, 2023 and 2025 and as an IACM Special Interest Conference in 2025. Plenary lecturers at past editions include Thomas J.R. Hughes, Eugenio Oñate, Peter Wriggers, Laura De Lorenzis, Francisco Chinesta, Wing Kam Liu, Roger Ghanem, Stefanie Reese, and Marc Geers etc. Selected papers from the conference are published, after peer review, in special issues of Engineering Computations (Emerald; indexed in Web of Science and Scopus).
CM3P is deliberately kept focused, with a small number of parallel sessions so that participants can follow the discussion across communities – computational mechanics, applied mathematics, materials science, uncertainty quantification and scientific computing – and so that early-career researchers can engage directly with leading experts. Two Zienkiewicz Institute & CM3P Best Paper Awards recognise outstanding contributions. And the setting is Porto: a UNESCO World Heritage city on the Douro, famous for its architecture, cuisine and port wine.
CM3P 2027 welcomes contributions on the latest advances in M3 modelling, including but not limited to:
- Multi-scale modelling and computational homogenization (hierarchical and concurrent approaches, mean-field and full-field methods)
- Multi-physics simulation and computational coupling strategies (fluid–structure interaction, thermo-chemo-mechanical, electro-magneto-mechanical and multiphase/porous-media problems)
- Uncertainty quantification, stochastic modelling, probabilistic and non-probabilistic (imprecise) methods, reliability and risk assessment
- Data-driven modelling, scientific machine learning, model order reduction and digital twins
- Fracture, damage and failure across scales
- Inverse problems, model calibration and validation, and optimisation and design under uncertainty
- High-performance computing for M3 problems
- Scientific and industrial applications, e.g. advanced materials and composites, additive manufacturing, energy and subsurface engineering, biomechanics and biomedical engineering
- Other related topics