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Mohammad Nooraiepour — most-cited papers & profile · AI for Science
← authors
·
overview
Mohammad Nooraiepour
5
papers ·
1
citations ·
15
h-index
University of Oslo · Centre de Géosciences
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Most-cited papers
Adaptive Physics-Informed Neural Networks with Multi-Category Feature Engineering for Hydrogen Sorption Prediction in Clays, Shales, and Coals
2025 · 1 citations
Physics-Informed Neural Networks for Methane Sorption: Cross-Gas Transfer Learning, Ensemble Collapse Under Physics Constraints, and Monte Carlo Dropout Uncertainty Quantification
2026
Partial Differential Equations in the Age of Machine Learning: A Critical Synthesis of Classical, Machine Learning, and Hybrid Methods
2026
Physics-Informed Neural Networks for Predicting Hydrogen Sorption in Geological Formations: Thermodynamically Constrained Deep Learning Integrating Classical Adsorption Theory
2026
Bayesian Parametric Matrix Models: Principled Uncertainty Quantification for Spectral Learning
2025
Top co-authors
Zezhang Song
· 3
and Helge Hellevang
· 2
Mohammad Masoudi
· 2
and Saeid Sadeghnejad
· 1
and Sarah Perez
· 1
Jakub Wiktor Both
· 1
Teeratorn Kadeethum
· 1
Wei Li
· 1
Topics
Physics ML
Materials
Chemistry
Math & Equations