Physics-informed neural networks for methane sorption: Cross-gas transfer learning, ensemble collapse under physics constraints, and Monte Carlo Dropout uncertainty quantification

Energy and AI 2026 Open access

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Authors: Mohammad Nooraiepour, Zezhang Song, Wei Li, Sarah Perez

DOI: 10.1016/j.egyai.2026.100757

Cited by: 1

References: 54

Fields of Study & Subjects

Model Reduction and Neural Networks Advanced Graph Neural Networks Quantum many-body systems

References 54