Plankovskyy, S.; Tsegelnyk, Y.; Shyshko, N.; Litvinchev, I.; Romanova, T.; Velarde Cantú, J.M.
Review of Physics-Informed Neural Networks: Challenges in Loss Function Design and Geometric Integration. Mathematics 2025, 13, 3289.
https://doi.org/10.3390/math13203289
AMA Style
Plankovskyy S, Tsegelnyk Y, Shyshko N, Litvinchev I, Romanova T, Velarde Cantú JM.
Review of Physics-Informed Neural Networks: Challenges in Loss Function Design and Geometric Integration. Mathematics. 2025; 13(20):3289.
https://doi.org/10.3390/math13203289
Chicago/Turabian Style
Plankovskyy, Sergiy, Yevgen Tsegelnyk, Nataliia Shyshko, Igor Litvinchev, Tetyana Romanova, and José Manuel Velarde Cantú.
2025. "Review of Physics-Informed Neural Networks: Challenges in Loss Function Design and Geometric Integration" Mathematics 13, no. 20: 3289.
https://doi.org/10.3390/math13203289
APA Style
Plankovskyy, S., Tsegelnyk, Y., Shyshko, N., Litvinchev, I., Romanova, T., & Velarde Cantú, J. M.
(2025). Review of Physics-Informed Neural Networks: Challenges in Loss Function Design and Geometric Integration. Mathematics, 13(20), 3289.
https://doi.org/10.3390/math13203289