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Latest from ADAMUS
FIS Advanced Grant · 2025–2028
ADAMUS
ADvanced numerical Approaches for MUltiscale Systems with uncertainties
The project ADAMUS (2025–2028), funded through a FIS Advanced Grant, develops advanced mathematical and computational methodologies to address the challenges of complex multiscale systems affected by uncertainty. The FIS Advanced Grant represents the Italian counterpart of the European Research Council (ERC) Advanced Grant, supporting ambitious and high-impact research conducted by leading investigators.
2Years of research and counting
9+European universities
5Italian partner groups
Three research pillars
Structure-preserving numerical methods
Algorithms that respect the geometric and physical laws governing complex systems across all scales.
Machine learning integration
Data-driven models fused with principled simulation, from kinetic theory to fluid dynamics.
Uncertainty quantification
Robust and predictive simulations under conditions of partial information and computational complexity.
ADAMUS bridges numerical analysis and artificial intelligence, contributing to the foundations of modern computational learning.
Institutional Collaborations