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Muhammad Ishtiaq

Researcher

Gyeongsang National University

South Korea

Research Interests

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Professors in South Korea

Articles (20)

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2026

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2026

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2026

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2025

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2025

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2025

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2025

Collaborators (2)

Prof. N. S. Reddy

Professor

Gyeongsang National University

SOUTH KOREA

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Tea-Sung Jun

Associate Professor

Incheon National University

SOUTH KOREA

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Muhammad Ishtiaq

Research Interests

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Articles (20)

Structural Evolution, Defect Chemistry, and Microstructural Tuning of Novel La2-xCaxMn2-yCoyO6-δ Double Perovskite Oxides Synthesized via Facile Sol–Gel Route

Data-driven prediction and optimization of high-strength austenitic steels for cryogenic applications

Data-Driven Quantification of Temperature-Induced Mechanical Property Variations in 5Cr–0.5Mo Steel Using Artificial Neural Networks

Neural network approach for predicting and interpreting specific capacitance in heteroatom-doped graphene supercapacitors

Modeling the correlation between composition and Néel transition temperature in Fe-Mn-Al-Cr-Si alloys

Effect of Pore Size on CO2 Adsorption Capacity over Low-Grade Carbon-Loaded Mesoporous Zeolites

Prediction and Analysis of Creep Rupture Life of 9Cr Martensitic-Ferritic Heat-Resistant Steel by Neural Networks

A Data Science Framework for Predicting the Creep Rupture Life of 1.25Cr-0.5Mo Steel for Elevated Temperature Applications

Investigating the in-plane mechanical anisotropy behavior of Mg–3Al–1Zn–1Ca alloy

Gd-mediated microstructural engineering of Mg to enhance mechanical and biological performance for biomedical applications

Texture Engineering of Wrought Mg Alloys: A Review

Short-range order in face-centered cubic multi-principal element alloys: identification, structure–property relationships, and superfunctional implications

Comprehensive review of sodium-ion batteries: Principles, materials, performance, and wide-temperature applications

Modeling Hardness in Industrial C–Mn Cast Steels with Neural Network Models

Nanodefect-Mediated Strengthening and Deformation Mechanisms in Magnesium Alloys: A Critical Review

Multi-Algorithm Machine Learning Framework for Predicting Crystal Structures of Lithium Manganese Silicate Cathodes Using DFT Data

Impact of Post-Annealing Treatment on the Microstructure, Recrystallization and Mechanical Behavior of Hot-Rolled Mg-Al-Zn-Ca Alloy

Aging-driven TiO2 oxide formation and its impact on the corrosion resistance of NiTi alloy developed by powder metallurgy

Evaluation of Foundry Properties of Locally Available Molding Sand with Bentonite Clay Additions for Cost-Effective Aluminum Alloy Casting

ANN-based prediction of bainite start temperature in Fe–C–Mn–Si–Cr–Ni–Mo steels: comparison with empirical models and metallurgical insights

Collaborators (2)

Prof. N. S. Reddy

Tea-Sung Jun

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