APA (7th ed.) Citation

Sadeghi Tabas, S., Samadi, V., Wilson, C., & Bhattacharya, B. (2025). Probabilistic Physics‐Guided Deep Neural Networks With Recurrence and Attention Mechanisms for Interpretable Daily Streamflow Simulation. Water Resources Research, 61(9), 1. https://doi.org/10.1029/2025WR040173

Chicago Style (17th ed.) Citation

Sadeghi Tabas, Sadegh, Vidya Samadi, Catherine Wilson, and Biswa Bhattacharya. "Probabilistic Physics‐Guided Deep Neural Networks With Recurrence and Attention Mechanisms for Interpretable Daily Streamflow Simulation." Water Resources Research 61, no. 9 (2025): 1. https://doi.org/10.1029/2025WR040173.

MLA (9th ed.) Citation

Sadeghi Tabas, Sadegh, et al. "Probabilistic Physics‐Guided Deep Neural Networks With Recurrence and Attention Mechanisms for Interpretable Daily Streamflow Simulation." Water Resources Research, vol. 61, no. 9, 2025, p. 1, https://doi.org/10.1029/2025WR040173.