most citedLocally-symplectic neural networks for learning volume-preserving dynamics

13 citations · 13 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2021

Data-driven intrinsic localized mode detection and classification in one-dimensional crystal lattice model

Jānis Bajārs, Filips Kozirevs

In this work we propose Support Vector Machine classification algorithms to classify onedimensional crystal lattice waves from locally sampled data. Different learning datasets of…

math-ph2021★ 13 cited

Locally-symplectic neural networks for learning volume-preserving dynamics

Jānis Bajārs

We propose locally-symplectic neural networks LocSympNets for learning the flow of phase volume-preserving dynamics. The construction of LocSympNets stems from the theorem of the l…