Castelano, Leonardo Kleber 
; Cunha, Iann ; Luiz, Fabricio Souza ; Napolitano, Reginaldo de Jesus ; Prado, Marcelo Velludo Souza ; Fanchini, Felipe Fernandes
Source: Physical Review A. Unidade: IFSC
Subjects: FÍSICA TEÓRICA, REDES NEURAIS, COMPUTAÇÃO QUÂNTICA, APRENDIZADO COMPUTACIONAL
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CASTELANO, Leonardo Kleber et al. Combining physics-informed neural networks with the freezing mechanism for general Hamiltonian learning. Physical Review A, v. 110, n. 3, p. 032607-1-032607-8, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevA.110.032607. Acesso em: 08 out. 2025.APA
Castelano, L. K., Cunha, I., Luiz, F. S., Napolitano, R. de J., Prado, M. V. S., & Fanchini, F. F. (2024). Combining physics-informed neural networks with the freezing mechanism for general Hamiltonian learning. Physical Review A, 110( 3), 032607-1-032607-8. doi:10.1103/PhysRevA.110.032607NLM
Castelano LK, Cunha I, Luiz FS, Napolitano R de J, Prado MVS, Fanchini FF. Combining physics-informed neural networks with the freezing mechanism for general Hamiltonian learning [Internet]. Physical Review A. 2024 ; 110( 3): 032607-1-032607-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevA.110.032607Vancouver
Castelano LK, Cunha I, Luiz FS, Napolitano R de J, Prado MVS, Fanchini FF. Combining physics-informed neural networks with the freezing mechanism for general Hamiltonian learning [Internet]. Physical Review A. 2024 ; 110( 3): 032607-1-032607-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevA.110.032607
