Fahhad H Alharbi

About Fahhad H Alharbi

Fahhad H Alharbi, With an exceptional h-index of 31 and a recent h-index of 25 (since 2020), a distinguished researcher at King Fahd University of Petroleum and Minerals,

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine Learning-Driven Predictions of Crystal Symmetry Groups Using Chemical Compositions in Binary and Ternary Materials

GGA-PBE band gap machine learning correction with a reduced set of features

Cesium-niobium-chalcogenide compounds and semiconductor devices including the same

Constraint‐based analysis of a physics‐guided kinetic energy density expansion

Structures, band gaps, and formation energies of highly stable phases of inorganic ABX 3 halides: A= Li, Na, K, Rb, Cs, Tl; B= Be, Mg, Ca, Ge, Sr, Sn, Pb; and X= F, Cl, Br, I

Psitrum and Simulation of Decoherence in Quantum Algorithms

Prediction of Crystal Symmetry Groups for Binary and Ternary Materials from Chemical Compositions using Machine Learning

Outliers in Shannon’s effective ionic radii table and the table extension by machine learning

Fahhad H Alharbi Information

University

Position

___

Citations(all)

3557

Citations(since 2020)

2387

Cited By

2173

hIndex(all)

31

hIndex(since 2020)

25

i10Index(all)

63

i10Index(since 2020)

45

Email

University Profile Page

Google Scholar

Top articles of Fahhad H Alharbi

Machine Learning-Driven Predictions of Crystal Symmetry Groups Using Chemical Compositions in Binary and Ternary Materials

Bulletin of the American Physical Society

2024/3/5

GGA-PBE band gap machine learning correction with a reduced set of features

Bulletin of the American Physical Society

2024/3/5

Cesium-niobium-chalcogenide compounds and semiconductor devices including the same

2024/1/9

Constraint‐based analysis of a physics‐guided kinetic energy density expansion

International Journal of Quantum Chemistry

2023/1/5

Asem Alenaizan
Asem Alenaizan

H-Index: 5

Fahhad H Alharbi
Fahhad H Alharbi

H-Index: 22

Structures, band gaps, and formation energies of highly stable phases of inorganic ABX 3 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

Fahhad H Alharbi
Fahhad H Alharbi

H-Index: 22

Psitrum and Simulation of Decoherence in Quantum Algorithms

APS March Meeting Abstracts

2023

Prediction of Crystal Symmetry Groups for Binary and Ternary Materials from Chemical Compositions using Machine Learning

APS March Meeting Abstracts

2023

Outliers in Shannon’s effective ionic radii table and the table extension by machine learning

Computational Materials Science

2023/9/1

Fahhad H Alharbi
Fahhad H Alharbi

H-Index: 22

Accelerating Materials Discovery through Machine Learning: Predicting Crystallographic Symmetry Groups

The Journal of Physical Chemistry C

2023/8/11

Mohammed Alghadeer
Mohammed Alghadeer

H-Index: 0

Fahhad H Alharbi
Fahhad H Alharbi

H-Index: 22

Thermodynamics of solar energy conversion

Photovoltaic Technology for Hot and Arid Environments

2023/8/3

Solar cell fundamentals

Photovoltaic Technology for Hot and Arid Environments

2023/8/3

Bandgap energy prediction of senary zincblende III–V semiconductor compounds using machine learning

Materials Science in Semiconductor Processing

2023/7/1

Fahhad H Alharbi
Fahhad H Alharbi

H-Index: 22

On the kinetic energy density functional: The limit of the density derivative order

Physica Scripta

2022/10/12

Fahhad H Alharbi
Fahhad H Alharbi

H-Index: 22

Psitrum and Universal Simulation of Quantum Computers

2022/9/18

Energy transfer and coherence in coupled oscillators with delayed coupling: a classical picture of two-level systems

Physica Scripta

2022/7/22

Fahhad H Alharbi
Fahhad H Alharbi

H-Index: 22

Resampling techniques for materials informatics: limitations in crystal point groups classification

2022/7/19

Mohammed Alghadeer
Mohammed Alghadeer

H-Index: 0

Fahhad H Alharbi
Fahhad H Alharbi

H-Index: 22

Psitrum: An Open Source Simulator for Universal Quantum Computers

arXiv preprint arXiv:2203.07301

2022/3/14

Highly accurate machine learning prediction of crystal point groups for ternary materials from chemical formula

Scientific Reports

2022/1/28

Abdulmohsen Alsaui
Abdulmohsen Alsaui

H-Index: 0

Fahhad H Alharbi
Fahhad H Alharbi

H-Index: 22

Scaling analysis of a physics-guided kinetic energy density expansion

Journal of Physics: Conference Series

2021/11/1

Fahhad H Alharbi
Fahhad H Alharbi

H-Index: 22

Highly accurate machine learning model for kinetic energy density functional

Physics Letters A

2021/10/29

Mohammed Alghadeer
Mohammed Alghadeer

H-Index: 0

Fahhad H Alharbi
Fahhad H Alharbi

H-Index: 22

See List of Professors in Fahhad H Alharbi University(King Fahd University of Petroleum and Minerals)