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
- Call of interest for positions in mathematics at SISSA
- 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
-
Gioacchino Antonelli
Isoperimetric problems in curved spaces and applications
Monday, November 4, 2024 - 14:00
-
Dr.
Changzhen Sun
Recent studies on the spectral (in-)stability of periodic waves
Thursday, November 7, 2024 - 14:00 to 16:00
-
Ivan Yuri Violo
T.B.A
Thursday, November 14, 2024 - 14:00 to 16:00
-
Argham Ohanyan
T.B.A.
Thursday, November 21, 2024 - 14:00 to 16:00
Today's Lectures
-
11:00 to 13:00
-
Ivan B. Penkov
14:00 to 16:00
-
14:00 to 16:00
-
16:00 to 18:00
Recent publications
-
G.P. Leonardi; G. Saracco,Rigidity and trace properties...
-
A.A. Agrachev; L. Rizzi; T. Rossi,Relative heat content asymptot...
-
S. Bianchini; G.Maria Leccese,Existence and blow-up for non-...
-
S. Piani; L. Heltai; N. Rotundo; W. Lei; P. Farrell,Data-driven solutions of ill-p...