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Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
Fatemeh Nejati. (Ph.D)
Sara Sadeghi. (M.Sc)
Hamed Khalilinia (2006-2008)
2019, Mardiha, P.
A. Bidram
Fields of Interest
Hossein Shaarbaf
Danial Khorsandi
Synthesis and properties of biodegradable poly(vinyl alcohol)/organo-nanoclay nanocomposites
Synthesis and Properties of Biodegradable Poly(vinyl alcohol)/Organo-nanoclay Bionanocomposites
Novel nanocomposites of poly (vinyl alcohol) and Mg–Al layered double hydroxide intercalated with diacid N-tetrabromophthaloyl-aspartic
Breeding Plants for Stress Environments
Injectable hydrogels incorporating molecularly imprinted MgO/chitosan nanoparticles for controlled gentamicin delivery for potential cartilage-related applications