PYSANUM

PYSANUM

Pisan Young Seminars in Applied and NUmerical Mathematics

Informal seminar series on numerical analysis and applied mathematics aimed at students.
The aim of the meetings is to present numerical analysis research topics in an accessible manner and to involve interested students. The seminars will have an introductory first part and will also be accessible to those unfamiliar with the subject. They will be held mainly in Italian, in line with the informal tone of the series.
Master’s students and Bachelor’s students who are familiar with the contents of the Scientific Computing course are encouraged to attend.
Organised by PhD students from the University of Pisa and the Scuola Normale Superiore.

Upcoming Seminars

12.00 – 21 May 2026
 Giuseppe Caliò (Politecnico di Milano)
 Saletta Riunioni, Department of Mathematics
 Corona Discharges: Modeling and Applications in Ionic Propulsion
Ionic propulsion is an emerging technology in the aerospace field. An ionic thruster is based on a corona discharge mechanism that generates an ionic wind, which in turn produces the required thrust. The physical process underlying corona discharge is the ionization of air molecules induced by a strong electric field. Free electrons play a crucial role in the ionization process. These phenomena and their mathematical modeling are currently being investigated within the framework of the IPROP project led by Politecnico di Milano. In this talk, we introduce the concept of corona discharge and discuss its main phenomenological aspects. Starting from the physical understanding of the underlying mechanisms, mathematical models with different levels of approximation will be presented. The second part of the talk will focus on suitable spatial discretization techniques designed to address the numerical difficulties arising in strongly drift-dominated regimes. Finally, the application to ionic propulsion will be discussed, with particular emphasis on the coupling between the electric problem and fluid dynamics, which is essential for accurately predicting the generated thrust