(2012) PhD, Applied Chemistry, Department of Chemistry, Damascus University, Syria.
(2008) Master, Applied Chemistry, Department of Chemistry, Damascus University, Syria.
(2006) High Diploma, General Chemistry, Department of Chemistry, Damascus University, Syria.
(2005) Bachelors, Pure Chemistry, Department of Chemistry, Damascus University, Syria.
Experience
Postdoc researcher at School of materials science & engineering, Yeungnam University (South Korea). (Mar. 1st 2013 - Aug. 31st 2015)
Journal Articles
(2024)
Utilizing machine learning and phonon density of states for innovative approaches to design and optimize high-performance solid-state Mg-ion electrolytes.
JOURNAL OF POWER SOURCES.
606,
234575
(2024)
Phonon DOS-Based Machine Learning Model for Designing High-Performance Solid Electrolytes in Li-Ion Batteries.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH.
2024,
2138847
(2023)
Accelerated discovery of perovskite materials guided by machine learning techniques.
MATERIALS LETTERS.
353,
135311
(2023)
Texture Transformation Induced Grain Fragmentation.
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE.
54,
12
(2023)
Effect of CaO Content and Annealing Treatment on the Room-Temperature Mechanical Properties of AZ61 and AZ61-CaO Alloys.
METALS.
13,
12
(2023)
Achieving high strength and ductility of multi-phase steel via hub-border architecture formed in 30 s.
JOURNAL OF ALLOYS AND COMPOUNDS.
972,
1
(2023)
Learning techniques for designing solid-state lithium-ion batteries with high thermomechanical stability.
MATERIALS LETTERS.
351,
1
(2023)
Discovery of solid-state electrolytes for Na-ion batteries using machine learning.
MATERIALS LETTERS.
349,
15
(2023)
Solid electrolytes for Li-ion batteries via machine learning.
MATERIALS LETTERS.
338,
1
(2022)
A Machine Learning-Assisted Approach to a Rapid and Reliable Screening for Mechanically Stable Perovskite-Based Materials.
ADVANCED FUNCTIONAL MATERIALS.
33,
1
(2022)
Investigating the Microstructure, Crystallographic Texture and Mechanical Behavior of Hot-Rolled Pure Mg and Mg-2Al-1Zn-1Ca Alloy.
CRYSTALS.
12,
10
(2022)
Interpretable Machine Learning Analysis of Stress Concentration in Magnesium: An Insight beyond the Black Box of Predictive Modeling.
CRYSTALS.
12,
9
(2022)
Poly(butylene succinate) (PBS): Materials, processing, and industrial applications.
PROGRESS IN POLYMER SCIENCE.
132,
1
(2022)
Effect of deformation temperature on the slip activity in pure Mg and AZX211.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T.
19,
-
(2022)
Brittle and ductile characteristics of intermetallic compounds in magnesium alloys: A large-scale screening guided by machine learning.
JOURNAL OF MAGNESIUM AND ALLOYS.
6,
1
(2022)
paper Crystal structure guided machine learning for the discovery and design of intrinsically hard materials.
JOURNAL OF MATERIOMICS.
8,
3
(2022)
A deep learning perspective into the figure-of-merit of thermoelectric materials.
MATERIALS LETTERS.
319,
1
(2022)
Effect of CaO on structure and properties of AZ61 magnesium alloy.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING.
844,
143189
(2022)
A Comparative Study of Strain Rate Constitutive and Machine Learning Models for Flow Behavior of AZ31-0.5 Ca Mg Alloy during Hot Deformation.
MATHEMATICS.
10,
5
(2022)
Corrosion behavior of AZ31 magnesium alloy with calcium addition.
CORROSION SCIENCE.
199,
1