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Mohamed Eddaoudi

Researcher at King Abdullah University of Science and Technology

Publications -  369
Citations -  74355

Mohamed Eddaoudi is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Metal-organic framework & Chemistry. The author has an hindex of 94, co-authored 327 publications receiving 64217 citations. Previous affiliations of Mohamed Eddaoudi include University of South Florida & Centre national de la recherche scientifique.

Papers
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Journal ArticleDOI

Chiral Recognition by Molecular Monolayers: Inclusion of Terpenes in tert-Butyldimethylsilyl-O6-β-Cyclodextrin

TL;DR: Chiral discrimination has been shown at the air-water interface for the binding of terpenes to heptakis-6-O-(tert-butyldimethylsilyl)-β-CD.
Patent

A rare earth-based metal-organic framework for moisture removal and control in confined spaces

TL;DR: In this article, a method for preparing a metal-organic framework (MOF) comprising of a rare earth metal ion component with one or more tetratopic ligand component is presented.
Patent

Fabrication of metal organic framework materials using a layer-by-layer spin coating approach

TL;DR: In this article, the authors describe a method of depositing an MOF, including depositing a metal solution onto a substrate, spinning the substrate sufficient to spread the metal solution, and then placing an organic ligand solution onto the substrate to form a MOF layer.
Journal ArticleDOI

Institution of Metal-Organic Frameworks as a Highly Sensitive and Selective Layer In-Field Integrated Soil-Moisture Capacitive Sensor.

TL;DR: In this paper , porous metal-organic frameworks (MOFs), as the receptor layer, were used in capacitive sensors to efficiently sense moisture in two types of soil, namely, clayy soil and sandy soil.
Reference EntryDOI

Zeolitelike Metal–Organic Frameworks (ZMOFs): Design, Structure, and Properties

TL;DR: In this paper, a molecular building block approach is proposed to generate rigid and directional building blocks, mostly in situ, for the construction of MOMs having specific underlying networks and/or targeted functions/properties.