APA (7th ed.) Citation

Duarte, J. G., Di Leva, A., Buompane, R., Formicola, A., Harke, J. T., Rapagnani, D., . . . Gialanella, L. (2025). A new way to unravel the 12C(α,γ)16O cross section components using neural networks. European Physical Journal A -- Hadrons & Nuclei, 61(1), 1. https://doi.org/10.1140/epja/s10050-024-01478-1

Chicago Style (17th ed.) Citation

Duarte, J. G., A. Di Leva, R. Buompane, A. Formicola, J. T. Harke, D. Rapagnani, C. Santonastaso, and L. Gialanella. "A New Way to Unravel the 12C(α,γ)16O Cross Section Components Using Neural Networks." European Physical Journal A -- Hadrons & Nuclei 61, no. 1 (2025): 1. https://doi.org/10.1140/epja/s10050-024-01478-1.

MLA (9th ed.) Citation

Duarte, J. G., et al. "A New Way to Unravel the 12C(α,γ)16O Cross Section Components Using Neural Networks." European Physical Journal A -- Hadrons & Nuclei, vol. 61, no. 1, 2025, p. 1, https://doi.org/10.1140/epja/s10050-024-01478-1.