Author

Fei Xiong

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Review Open access Sep 2026

Physics-Informed Machine Learning in Subsurface Multiphysics Flow Modeling: Integrating Physical Constraints for Accelerated Simulation

The analysis shows that PINNs are well suited to physics-constrained simulation and parameter inversion from sparse data but are limited by training instability and loss imbalance, and NOs enable rapid repeated forward predictions but depend strongly on representative training data and may perform poorly under out-of-d...

Lin-Chao Wang, Fei Xiong, F. Dang et al. · Buildings · 0 citations

Review Open access Aug 2026

Machine Learning-Driven Multi-Scale Modeling and Digital Twin Evolution for Geothermal Reservoirs and Underground Thermal Storage

This review systematically evaluates machine learning as a foundational paradigm for overcoming computational and scale-bridging challenges in geothermal energy and underground thermal storage, highlighting physics-informed machine learning (PIML) and hybrid architectures that embed conservation laws as strict constrai...

Xue Li, Lin Zhu, Wan Zhang et al. · Applied Sciences · 1 citation