Zied Hosni

Sheffield Hallam University — United Kingdom

Materials Science · Physical Sciences

9h-index542citations39works2.82yr avg
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Research Topics

Machine Learning in Materials Science(10), Crystallization and Solubility Studies(7), Metal-Organic Frameworks: Synthesis and Applications(5), Asymmetric Hydrogenation and Catalysis(5), Computational Drug Discovery Methods(4)

Publications39 total

Explicit Applicability Domain Calculations Can Help Determine When Uncertainty Estimates Are Less Reliable
ACS Omega·2026Open Access
Predictive Modeling of Yield Sooting Index Using Machine Learning with Uncertainty Estimation
ACS Omega·2025· 2 citedOpen Access
Machine learning-driven nanoparticle toxicity
Ecotoxicology and Environmental Safety·2025· 14 citedOpen Access
Specific surface area (SSA) of perovskites with uncertainty estimation approach
Computational Materials Science·2025· 2 citedOpen Access
A Hybrid Dft–Machine Learning Approach for Fast Homo–Lumo Gap Prediction in Naphthalene Diimide Mof Linkers
SSRN Electronic Journal·2025Open Access
A Hybrid DFT-Machine Learning Approach for Fast HOMO–LUMO Gap Prediction in Naphthalene Diimide MOF Linkers
SSRN Electronic Journal·2025Open Access
<scp>ML</scp> ‐driven models for predicting <scp> CO <sub>2</sub> </scp> uptake in metal–organic frameworks ( <scp>MOFs</scp> )
The Canadian Journal of Chemical Engineering·2024· 10 citedOpen Access
Author response for "&lt;scp&gt;ML&lt;/scp&gt;‐driven models for predicting &lt;scp&gt;CO&lt;sub&gt;2&lt;/sub&gt;&lt;/scp&gt; uptake in metal–organic frameworks (&lt;scp&gt;MOFs&lt;/scp&gt;)"
2024
Hydrogenation of hexene catalyzed by a ruthenium (<scp>II</scp>) complex with <i>N</i>‐heterocyclic carbene ligands
International Journal of Quantum Chemistry·2024Open Access
Machine Learning-driven models for predicting CO2 Uptake in Metal-Organic Frameworks (MOFs)
Research Square (Research Square)·2024· 1 citedOpen Access
Machine Learning-driven models for predicting CO2 Uptake in Metal-Organic Frameworks (MOFs)
2024· 4 citedOpen Access
Machine Learning-Driven Nanoparticle Toxicity
SSRN Electronic Journal·2024Open Access
Stereoselective 1,2 migration of a boronate complex inside a nanoreactor: QM/MM study
Materials Today Communications·2023Open Access
CSD 1791657: Experimental Crystal Structure Determination
The Cambridge Structural Database·2022Open Access
Olefin Hydrogenation Mechanism Catalyzed by Ruthenium Complexes Containing N-Heterocyclic Carbene Ligands
SSRN Electronic Journal·2022Open Access
Assisted dipeptide bond formation: glycine as a case study
Heliyon·2021· 6 citedOpen Access
AI3SD Video: Fireflies-Lévy Flights algorithm for peptides conformational optimization
ePrints Soton (University of Southampton)·2021Open Access
Rücktitelbild: Visible‐Light‐Driven Strain‐Increase Ring Contraction Allows the Synthesis of Cyclobutyl Boronic Esters (Angew. Chem. 16/2020)
Angewandte Chemie·2020
Back Cover: Visible‐Light‐Driven Strain‐Increase Ring Contraction Allows the Synthesis of Cyclobutyl Boronic Esters (Angew. Chem. Int. Ed. 16/2020)
Angewandte Chemie International Edition·2020Open Access
Hexene hydrogenation catalysed by the complex monohydrid complexes: A DFT study of associated vs dissociated pathways
Journal of Molecular Graphics and Modelling·2020· 6 cited
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Frequent Co-authors

Sofiene Achour(19), Bahoueddine Tangour(9), Alastair J. Florence(7), Ian Houson(5), Leroy Cronin(4), Mattia Silvi(4), Adam Noble(4), Natalie Fey(4), Varinder K. Aggarwal(4), Fatma Saâdi(4), Vasilios Duros(3), Jonathan Grizou(3), Weimin Xuan(3), De‐Liang Long(3), Haralampos N. Miras(3), Raffael Davenport(3), Mohammed M. Al Qaraghuli(3), Christopher D. Syme(3), Rachida Bessrour(2), Yangfan Chen(2)