Knowledge-Informed Neuro-Integrators for Aggregation Kinetics

We report a novel approach for the efficient computation of solutions of a broad class of large-scale systems of non-linear ordinary differential equations, describing aggregation kinetics. The method is based on a new take on the dimensionality reduction for this class of equations which can be nat...

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Veröffentlicht in:	arXiv.org 2023-12
Hauptverfasser:	Lukashevich, Dmitrii, Tyukin, Ivan, Brilliantov, Nikolay
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Complexity Computational efficiency Computing costs Intervals Kinetics Nonlinear differential equations Nonlinear systems Ordinary differential equations Static models
Online-Zugang:	Volltext
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