American Psychological Association 6th edition

Cheng, G., Krishna, M., & Morlighem, M. (2025). A Python library for solving ice sheet modeling problems using physics-informed neural networks, PINNICLE v1.0. Geoscientific Model Development, 18(16), 5311-5327. https://doi.org/10.5194/gmd-18-5311-2025

ISO-690 (author-date, English)

CHENG, Gong, KRISHNA, Mansa und MORLIGHEM, Mathieu, 2025. A Python library for solving ice sheet modeling problems using physics-informed neural networks, PINNICLE v1.0. Geoscientific Model Development. 15 August 2025. Vol. 18, no. 16, p. 5311-5327. DOI 10.5194/gmd-18-5311-2025.

Modern Language Association 9th edition

Cheng, G., M. Krishna, und M. Morlighem. „A Python Library for Solving Ice Sheet Modeling Problems Using Physics-Informed Neural Networks, PINNICLE v1.0.“. Geoscientific Model Development, Bd. 18, Nr. 16, August 2025, S. 5311-27, https://doi.org/10.5194/gmd-18-5311-2025.

Mohr Siebeck - Recht (Deutsch - Österreich)

Cheng, Gong/Krishna, Mansa/Morlighem, Mathieu: A Python library for solving ice sheet modeling problems using physics-informed neural networks, PINNICLE v1.0., Geoscientific Model Development 2025, 5311-5327.

Emerald - Harvard

Cheng, G., Krishna, M. und Morlighem, M. (2025), „A Python library for solving ice sheet modeling problems using physics-informed neural networks, PINNICLE v1.0.“, Geoscientific Model Development, Vol. 18 No. 16, S. 5311-5327.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.