APA (7th ed.) Citation

Elorza Casas, C. A., Ricardez-Sandoval, L. A., & Pulsipher, J. L. (2025). A comparison of strategies to embed physics-informed neural networks in nonlinear model predictive control formulations solved via direct transcription. Computers & chemical engineering, 198, 109105. https://doi.org/10.1016/j.compchemeng.2025.109105

Chicago Style (17th ed.) Citation

Elorza Casas, Carlos Andrés, Luis A. Ricardez-Sandoval, and Joshua L. Pulsipher. "A Comparison of Strategies to Embed Physics-informed Neural Networks in Nonlinear Model Predictive Control Formulations Solved via Direct Transcription." Computers & Chemical Engineering 198 (2025): 109105. https://doi.org/10.1016/j.compchemeng.2025.109105.

MLA (9th ed.) Citation

Elorza Casas, Carlos Andrés, et al. "A Comparison of Strategies to Embed Physics-informed Neural Networks in Nonlinear Model Predictive Control Formulations Solved via Direct Transcription." Computers & Chemical Engineering, vol. 198, 2025, p. 109105, https://doi.org/10.1016/j.compchemeng.2025.109105.