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
Today's Lectures
-
13:00 to 15:00
Recent publications
-
G.P. Leonardi; G. Saracco,Rigidity and trace properties...
-
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...
-
V.Eric Brice Ngan; G. Stabile; A. Mola; G. Rozza,A hybrid reduced-order model f...