An adaptive spectral physics-enabled network for Ginzburg-Landau dynamics

Machine learning for computational science and engineering 2026 Open access

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Authors: Julian Evan Chrisnanto, Nurfauzi Fadillah, Yulison Herry Chrisnanto
DOI: 10.1007/s44379-026-00059-x
Cited by: 0
References: 42

Fields of Study & Subjects

Model Reduction and Neural Networks Neural Networks and Applications Numerical methods for differential equations

Publication details

Journal / source
Machine learning for computational science and engineering
Volume
2
Issue
1
Publication date
26 February 2026
Language
EN