Cita APA (7a ed.)

Cooley, M., Kirby, R. M., Zhe, S., & Shankar, V. (2024). HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability.

Cita Chicago Style (17a ed.)

Cooley, Madison, Robert M. Kirby, Shandian Zhe, y Varun Shankar. HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability. 2024.

Cita MLA (9a ed.)

Cooley, Madison, et al. HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability. 2024.