Corrigendum to: “Physics-informed neural networks for the point kinetics equations for nuclear reactor dynamics” [Ann. Nucl. Energy 167 (2021) 108833] (Annals of Nuclear Energy (2022) 167, (S0306454921007106), (10.1016/j.anucene.2021.108833))

Enrico Schiassi; Mario De Florio; Barry D. Ganapol; Paolo Picca; Roberto Furfaro

doi:10.1016/j.anucene.2023.109999

Corrigendum to: “Physics-informed neural networks for the point kinetics equations for nuclear reactor dynamics” [Ann. Nucl. Energy 167 (2021) 108833] (Annals of Nuclear Energy (2022) 167, (S0306454921007106), (10.1016/j.anucene.2021.108833))

Enrico Schiassi, Mario De Florio, Barry D. Ganapol, Paolo Picca, Roberto Furfaro

Research output: Contribution to journal › Comment/debate › peer-review

Original language	English (US)
Article number	109999
Journal	Annals of Nuclear Energy
Volume	192
DOIs	https://doi.org/10.1016/j.anucene.2023.109999
State	Published - Nov 2023
Externally published	Yes

ASJC Scopus subject areas

Nuclear Energy and Engineering

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10.1016/j.anucene.2023.109999

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Schiassi, E., De Florio, M., Ganapol, B. D., Picca, P., & Furfaro, R. (2023). Corrigendum to: “Physics-informed neural networks for the point kinetics equations for nuclear reactor dynamics” [Ann. Nucl. Energy 167 (2021) 108833] (Annals of Nuclear Energy (2022) 167, (S0306454921007106), (10.1016/j.anucene.2021.108833)). Annals of Nuclear Energy, 192, Article 109999. https://doi.org/10.1016/j.anucene.2023.109999

Corrigendum to: “Physics-informed neural networks for the point kinetics equations for nuclear reactor dynamics” [Ann. Nucl. Energy 167 (2021) 108833] (Annals of Nuclear Energy (2022) 167, (S0306454921007106), (10.1016/j.anucene.2021.108833)). / Schiassi, Enrico; De Florio, Mario; Ganapol, Barry D. et al.
In: Annals of Nuclear Energy, Vol. 192, 109999, 11.2023.

Research output: Contribution to journal › Comment/debate › peer-review

Schiassi, E, De Florio, M, Ganapol, BD, Picca, P & Furfaro, R 2023, 'Corrigendum to: “Physics-informed neural networks for the point kinetics equations for nuclear reactor dynamics” [Ann. Nucl. Energy 167 (2021) 108833] (Annals of Nuclear Energy (2022) 167, (S0306454921007106), (10.1016/j.anucene.2021.108833))', Annals of Nuclear Energy, vol. 192, 109999. https://doi.org/10.1016/j.anucene.2023.109999

Schiassi E, De Florio M, Ganapol BD, Picca P, Furfaro R. Corrigendum to: “Physics-informed neural networks for the point kinetics equations for nuclear reactor dynamics” [Ann. Nucl. Energy 167 (2021) 108833] (Annals of Nuclear Energy (2022) 167, (S0306454921007106), (10.1016/j.anucene.2021.108833)). Annals of Nuclear Energy. 2023 Nov;192:109999. doi: 10.1016/j.anucene.2023.109999

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Corrigendum to: “Physics-informed neural networks for the point kinetics equations for nuclear reactor dynamics” [Ann. Nucl. Energy 167 (2021) 108833] (Annals of Nuclear Energy (2022) 167, (S0306454921007106), (10.1016/j.anucene.2021.108833))

ASJC Scopus subject areas

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