activity
20242026
most citedHow does surface wettability alter salt precipitation and growth dynamics during CO injection into saline aquifers: A microfluidic analysis

2 citations · 8 across the 9 of their papers we have counts for

collaborators

14 papers

cs.LG20261 cited

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 +1

Partial differential equations (PDEs) govern physical phenomena across the full range of scientific scales, yet their computational solution remains one of the defining challenges…

physics.geo-ph2026

Quantifying Salt Precipitation During CO2 Injection: How Flow Rate, Temperature, and Phase State Control Near-Wellbore Crystallization

Karol M. Dąbrowski, Mohammad Nooraiepour, Mohammad Masoudi

Salt precipitation near injection wells can reduce permeability, induce excess pressure buildup, and reduce injectivity within days to weeks of CO2 injection, yet the pore-scale me…

physics.geo-ph20262 cited

Carbon mineralization in CO2-seawater-basalt systems: Reactive transport dynamics and vesicular pore architecture controls

Mohammad Nooraiepour, Mohammad Masoudi, Helge Hellevang

Carbon mineralization in basaltic rocks may offer rapid, permanent \ce{CO2} storage, yet fundamental controls on reactive transport and precipitation patterns remain poorly underst…

physics.flu-dyn2025

Microfluidic Study of Evaporation-Driven Crystallization of Saline and Ammonia Brines under Hydrogen Flow

Karol M. Dąbrowski, Mohammad Nooraiepour, Mohammad Masoudi

Underground storage of hydrogen and ammonia in geological formations is essential for renewable energy integration, but salt precipitation during gas injection may threaten storage…

cs.LG20251 cited

Bayesian Parametric Matrix Models: Principled Uncertainty Quantification for Spectral Learning

Mohammad Nooraiepour

Scientific machine learning increasingly uses spectral methods to understand physical systems. Current spectral learning approaches provide only point estimates without uncertainty…

cs.LG20251 cited

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 +1

Accurate prediction of hydrogen sorption in clays, shales, and coals is vital for advancing underground hydrogen storage, natural hydrogen exploration, and radioactive waste contai…