Hybrid AI and Physics Model Improves Daily Arid Groundwater Predictions
A physics-guided hybrid framework combining MODFLOW and a Temporal Fusion Transformer provides accurate daily groundwater predictions and calibrated uncertainty intervals ...
A physics-guided hybrid framework combining MODFLOW and a Temporal Fusion Transformer provides accurate daily groundwater predictions and calibrated uncertainty intervals ...
Researchers have introduced a physics-guided graph transformer framework that combines convolutional features, transformer attention, and graph topology for automated multimodal ...
Researchers developed a physics-guided uncertainty calibration framework that significantly improves probabilistic forecast accuracy for heavy and extreme rainfall regimes while ...
Published in Advances in Aerodynamics, the study demonstrates that by optimizing specific steady-flow characteristics, such as shock wave position and ...
Published in the journal Geothermal Energy in June 2026, the study introduces a physics-guided clustered Gradient Boosting Regression Trees (GBRT) ...
Zhejiang University researchers report a physics-guided framework combining generative imputation, dynamic graph attention, and a constrained decoder that achieved zero ...
A new study tracks ozone-induced hardening in NR/CR marine rubber with longitudinal Shore A measurements and endpoint ultrasonic testing, while ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine