. The Neural Network shifted-proper orthogonal decomposition: A machine learning approach for non-linear reduction of hyperbolic equations. Computer Methods in Applied Mechanics and Engineering [Internet]. 2022 ;392. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124488633&doi=10.1016%2fj.cma.2022.114687&partnerID=40&md5=12f82dcaba04c4a7c44f8e5b20101997
Links
- Public Calls for Professors
- Temporary Researchers
- Temporary Technologists
- Research Fellowships
- Open positions in MathLab
- SISSA Mathematical Fellowships
- PhD Scolarships
- SIS Fellowships
- Pre-PhD Fellowships
- MSc in Mathematics
- Master Degree in Data Science and Scientific Computing
- Professional Master Courses
- SISSA Mathematics Medals
- SISSA Springer Series
Upcoming events
-
Marco Inversi
Some Dissipative Properties of Euler Solutions
Room: TBC(to be checked)Wednesday, January 28, 2026 - 14:00
-
Maxime Van De Moortel
The Klein-Gordon equation on a black hole
Room: A-133Thursday, February 26, 2026 - 14:00 to 16:00
Today's Lectures
-
11:00 to 13:00
Recent publications
-
G.P. Leonardi; G. Saracco,Rigidity and trace properties...
-
F. Ricci; L. Bardone; S. Goldt,Reduce and Conquer: Independen...
-
N. Gigli; K. Suzuki; S. Vincini,Pyramids for infinite product...
-
M.Kumar Das; T. Ismoilov; A.Pedro Ramos,Fourier optimization and pair...

