Laboratory of applied mathematics, simulation and mathematical modeling

The laboratory brings together highly qualified expertise in the fields of mathematical physics, advanced modeling, and numerical analysis, with the goal of developing theoretical and computational tools for understanding and managing complex systems in scientific, technological, and industrial contexts.

Research activities focus on the geometric formulation of physical theories, rational mechanics, the modeling of dynamical systems, and the numerical simulation of physical and engineering phenomena. Particular attention is given to the study of differential and geometric structures underlying the equations of mathematical physics, with applications to continuum mechanics, general relativity, and constrained systems.

A key area of practical impact involves the design of mathematical models for controlled dynamical systems, aimed at optimizing industrial processes, predicting the behavior of complex mechanical systems, and efficiently managing resources. In parallel, numerical simulation techniques and computational methods are developed for the analysis of flows, materials, and structures, with applications in the energy, environmental, and manufacturing sectors.

Activities also revolve around the study of field geometry and the mathematical formulation of fundamental interactions, contributing to the consolidation of a rigorous theoretical foundation for advanced applications in engineering and interdisciplinary modeling.

Through a strongly integrated approach combining mathematical physics, engineering, and scientific computing, the laboratory serves as a reference point for the development of high-tech solutions, promoting the transfer of knowledge to industry and society

Location 

  • Via Opera Pia 15a, Genova

Researchers 

  • Angelo Alessandri
  • Patrizia Bagnerini (RADRL)
  • Sante Carloni
  • Claudio Carmeli
  • Roberto Cianci 
  • Luca Fabbri
  • Emanuele Rossi
  • Stefano Vignolo 
  • Vincenzo Vitagliano

Research topics 

  • Aspects of mathematical physics for discrete and continuous systems, classical and quantum
  • Aspects of mathematical physics for classical and relativistic field theories
  • Modeling and control of distributed and nonlinear systems
  • Calculus of variations and optimization
  • Numerical analysis
Last update