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Hamid Hatami Maleki on Muck Rack

Hamid Hatami Maleki

As seen in: Nature, PLOS ONE, MDPI
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Articles

AI-based development and optimization of sealing materials for secondary grouting in methane recovery

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By Nastaran Zandy Ilghani, Hamid Hatami Maleki
| Nature Verified
Abstract Efficient coalbed methane (CBM) drainage is frequently hindered by the presence of gas pathways in fractured strata, which reduces borehole sealing effectiveness and limits production rates. Developing fracture sealing materials (FSMs) that combine adequate fluidity for fracture penetration with rapid consolidation and long-term strength is therefore essential.
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A novel intelligent framework for harnessing underground thermal energy through the optimization of grout and backfill thermophysical properties

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By Hamid Hatami Maleki, Nastaran Zandy Ilghani
| Nature Verified
Abstract Borehole heat exchanger–assisted underground thermal energy storage systems are increasingly employed to enhance the reliability of renewable and geothermal energy supply, yet their operational effectiveness is constrained by complex and nonlinear interactions between subsurface formations and engineered filling materials. This study presents an intelligent, integrated framework for the prediction, optimization, and prioritization of UTES configurations.
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Advanced computational approaches for predicting sunflower yield: Insights from ANN, ANFIS, and GEP in normal and salinity stress environments

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By Majid Montaseri, Hamid Hatami Maleki, Sanaz Khalifani, Reza Darvishzadeh
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Khalifani S, Darvishzadeh R, Montaseri M, Zaman Zad Ghavidel S, Hatami Maleki H, Kordrostami M (2025) Advanced computational approaches for predicting sunflower yield: Insights from ANN, ANFIS, and GEP in normal and salinity stress environments. PLoS ONE 20(2): e0319331.
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