Saad M. Alqahtani

King Khalid University — Saudi Arabia

Materials Science · Physical Sciences

10h-index251citations29works8.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Machine Learning in Materials Science(8), ZnO doping and properties(6), X-ray Diffraction in Crystallography(5), Computational Drug Discovery Methods(4), Semiconductor Quantum Structures and Devices(3)

Publications29 total

PRF membrane vs. chorion membrane with coronally advanced flap: a clinical study on gingival recession
Odontology·2026
Evaluating Hyperosmolar Water-Soluble Contrast Media for Diagnosing Adhesive Small Bowel Obstruction: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Cureus·2025Open Access
Knowledge, Attitudes, and Practices About Parkinson’s Disease Among the General Population of the Eastern Province of Saudi Arabia
Healthcare·2025· 1 citedOpen Access
Nitrogen-Rich Barium–Organic Framework for Capture and Cocatalysts Free Chemical Fixation of CO<sub>2</sub> via Cyclic Carbonates and Oxazolidinones
ACS Applied Materials & Interfaces·2025· 31 cited
Insight into the time-dependent corrosion protection of mild steel by green ionic liquids: a combined electrochemical, surface, and computational study
RSC Advances·2025· 4 citedOpen Access
Exploring corrosion protection of mild steel by ionic liquid functionalized graphene oxide: Gravimetric, electrochemical, and surface studies
Results in Chemistry·2024· 11 citedOpen Access
Machine learning prediction of materials properties from chemical composition: Status and prospects
Chemical Physics Reviews·2024· 10 citedOpen Access
Corrigendum to “Bandgap energy prediction of senary zincblende III-V semiconductor compounds using machine learning” [Mater. Sci. Semicond. Process. 161 (2023) 107461]
Materials Science in Semiconductor Processing·2024Open Access
Anions’ Radii — New data points calibrated to match Shannon’s table
Computational Materials Science·2024· 7 cited
DFT-PBE band gap correction using machine learning with a reduced set of features
Computational Materials Science·2024· 16 cited
Accelerating Materials Discovery through Machine Learning: Predicting Crystallographic Symmetry Groups
The Journal of Physical Chemistry C·2023· 20 citedOpen Access
Outliers in Shannon’s effective ionic radii table and the table extension by machine learning
Computational Materials Science·2023· 21 cited
Role of Defects in Graphene-Passivated Ti<sub>3</sub>C<sub>2</sub> MXene for Energy Conversion and Storage Applications: A First-Principles Study
ACS Applied Energy Materials·2023· 20 cited
Bandgap energy prediction of senary zincblende III–V semiconductor compounds using machine learning
Materials Science in Semiconductor Processing·2023· 4 cited
Structures, band gaps, and formation energies of highly stable phases of inorganic ABX<sub>3</sub> halides: A = Li, Na, K, Rb, Cs, Tl; B = Be, Mg, Ca, Ge, Sr, Sn, Pb; and X = F, Cl, Br, I
RSC Advances·2023· 27 citedOpen Access
Highly accurate machine learning prediction of crystal point groups for ternary materials from chemical formula
Scientific Reports·2022· 20 citedOpen Access
An approach based on random sampling and density functional theory to identify highly stable structures of ABX3 compounds
Computational Materials Science·2021· 4 cited
Identifying Highly Stable Structures of ABX<sub>3</sub> Compounds: Cases of CaTiO<sub>3</sub> and CsGeCl<sub>3</sub> Perovskites
2021
Dilute Oxygen Alloys of ZnS as a Promising Toxic-Free Buffer Layer for Cu(In, Ga)Se<sub>2</sub> Thin-Film Solar Cells
IEEE Transactions on Electron Devices·2020· 19 cited
Unusual bandgap bowing in highly mismatched ZnOS alloys: Atomistic tight-binding band anti-crossing model
Journal of Applied Physics·2019· 11 cited
page 1 of 2Next →

Frequent Co-authors

Fahhad H. Alharbi(12), Shaikh Ahmed(8), Ahmer A.B. Baloch(5), Mohammed Alsalman(4), Abduljabar Q. Alsayoud(3), Abdulmohsen Alsaui(3), Mohammed Alghadeer(3), Abdulmuin M. Abdullah(3), Yousef A. Alghofaili(2), Ali H. Muqaibel(2), Mohammed Alharbi(2), Ajahar Khan(2), Yas Al‐Hadeethi(2), Elena Bekyarova(2), Mahmoud Hezam(2), Md Rezaul Karim Nishat(2), Vinay Chimalgi(2), Md. Rezaul Karim Nishat(2), Aasif Helal(1), Mohammed Fettouhi(1)