Code for detecting magnetic reconnection with machine learning methods

Hu, Andong; Sisti, M.; Finelli, F.; Califano, F.; Dargent, J.; Faganello, M.; Camporeale, Enrico; Teunissen, Jannis

A. Hu (Andong), M. Sisti, F. Finelli, F. Califano, J. Dargent, M. Faganello, E. Camporeale (Enrico) and H.J. Teunissen (Jannis)

2020-07-08

Code for detecting magnetic reconnection with machine learning methods

The codes and their instructions referring to a journal article titled 'Identifying magnetic reconnection in 2D Hybrid Vlasov Maxwell simulations with Convolutional Neural Networks'.

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Organisation	Multiscale Dynamics
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Hu, A., Sisti, M., Finelli, F., Califano, F., Dargent, J., Faganello, M., Camporeale, E.& Teunissen, J. (2020). Code for detecting magnetic reconnection with machine learning methods.

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article Identifying magnetic reconnection in 2D Hybrid Vlasov Maxwell simulations with Convolutional Neural Networks A. Hu (Andong), M. Sisti, F. Finelli, F. Califano, J. Dargent, M. Faganello, E. Camporeale (Enrico) and H.J. Teunissen (Jannis)

Code for detecting magnetic reconnection with machine learning methods

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Identifying magnetic reconnection in 2D Hybrid Vlasov Maxwell simulations with Convolutional Neural Networks

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Code for detecting magnetic reconnection with machine learning methods

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Identifying magnetic reconnection in 2D Hybrid Vlasov Maxwell simulations with Convolutional Neural Networks