Manawwer Alam Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

Last publication 2025 Last refreshed 2026-04-18

faculty

44 h-index 318 pubs 7,346 cited

Biography and Research Information

OverviewAI-generated summary

Manawwer Alam's research investigates the application of computational methods and materials science to address challenges in energy, environmental science, and materials development. His work includes the theoretical prediction of novel hydride materials for hydrogen storage applications using density functional theory, as well as the use of machine learning to predict the CO2 capture capability of deep eutectic solvents. Alam has also explored the performance of perovskite-type nanocomposites for enhanced photocatalytic activity and studied the corrosion inhibition properties of amino acids.

Further research interests include the appraisal of heavy metal contamination and associated health risks in agricultural soil, and the efficiency of natural materials like kaolinite clay in adsorbing heavy metals from aqueous solutions. He has also investigated the effects of nanoparticles on the performance of epoxy coatings, examining thermal and nanoindentation properties. Alam's scholarly contributions are reflected in his h-index of 44 and over 7,276 citations across 318 publications, designating him as a highly cited researcher.

Metrics

  • h-index: 44
  • Publications: 318
  • Citations: 7,346

Selected Publications

  • Multi-Inlet Hydraulic Ram Pump System (2024)
  • An Innovative Hydraulic Ram Pump System (2024)

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Collaboration Network

238 Collaborators 114 Institutions 26 Countries

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