Author

Yulu Zhang

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Preprint Aug 2026

A Responsible Artificial Intelligence Framework for Groundwater Modeling

Results show that Transformer outperforms LSTM in accuracy, robustness, and interpretability, demonstrating the operability and practical value of Responsible AI principles in groundwater prediction to support sustainable water management under climate change and human activities.

Chong-De Chen, Yulu Zhang, Qingxi Guo et al. · 0 citations