Mohammad Nooraiepour

According to our database, Mohammad Nooraiepour authored at least 6 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Physics-Informed Neural Networks for Methane Sorption: Cross-Gas Transfer Learning, Ensemble Collapse Under Physics Constraints, and Monte Carlo Dropout Uncertainty Quantification.

Mohammad Nooraiepour, Zezhang Song, Wei Li, Sarah Perez

CoRR, April, 2026

Physics-Informed Neural Networks for Predicting Hydrogen Sorption in Geological Formations: Thermodynamically Constrained Deep Learning Integrating Classical Adsorption Theory.

Mohammad Nooraiepour, Mohammad Masoudi, Zezhang Song, Helge Hellevang

CoRR, March, 2026

Anisotropic Permeability Tensor Prediction from Porous Media Microstructure via Physics-Informed Progressive Transfer Learning with Hybrid CNN-Transformer.

Mohammad Nooraiepour

CoRR, March, 2026

Partial Differential Equations in the Age of Machine Learning: A Critical Synthesis of Classical, Machine Learning, and Hybrid Methods.

Mohammad Nooraiepour, Jakub Wiktor Both, Teeratorn Kadeethum, Saeid Sadeghnejad

CoRR, March, 2026

2025

Bayesian Parametric Matrix Models: Principled Uncertainty Quantification for Spectral Learning.

Mohammad Nooraiepour

CoRR, September, 2025

Adaptive Physics-Informed Neural Networks with Multi-Category Feature Engineering for Hydrogen Sorption Prediction in Clays, Shales, and Coals.

Mohammad Nooraiepour, Mohammad Masoudi, Zezhang Song, Helge Hellevang

CoRR, September, 2025