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Machine learning for phase space structures in reaction dynamics

Collection of MATLAB, Python scripts, and notebooks to generate training data and support vector classifier models for learning reactive islands in a model Hamiltonian. The model Hamiltonian is the two degrees of freedom H{'e}non-Heiles system which is an open non-linear dynamical system and considered as a benchmark for method development and verification.

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Machine learning for reaction dynamics. Package contains support vector machines for learning reactive islands, computing tube manifolds for Hénon-Heiles system

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