Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios.

MLA

Merlo, Andrea, et al. “Proof of Concept of a Fast Surrogate Model of the VMEC Code via Neural Networks in Wendelstein 7-X Scenarios.” Nuclear Fusion, vol. 61, no. 9, Sept. 2021, pp. 1–20. EBSCOhost, https://doi.org/10.1088/1741-4326/ac1a0d.

APA

Merlo, A., Böckenhoff, D., Schilling, J., Höfel, U., Kwak, S., Svensson, J., Pavone, A., Lazerson, S. A., Pedersen, T. S., & Team, the W.-X. (2021). Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios. Nuclear Fusion, 61(9), 1–20. https://doi.org/10.1088/1741-4326/ac1a0d

Chicago

Merlo, Andrea, Daniel Böckenhoff, Jonathan Schilling, Udo Höfel, Sehyun Kwak, Jakob Svensson, Andrea Pavone, Samuel Aaron Lazerson, Thomas Sunn Pedersen, and the W7-X Team. 2021. “Proof of Concept of a Fast Surrogate Model of the VMEC Code via Neural Networks in Wendelstein 7-X Scenarios.” Nuclear Fusion 61 (9): 1–20. doi:10.1088/1741-4326/ac1a0d.