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Prof. N. S. Reddy

Professor

Gyeongsang National University

South Korea

Research Interests

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Professors in South Korea

Articles (33)

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2026

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2021

Collaborators (4)

Mohammad Faseeulla Khan

Assistant Professor

king faisal university

SAUDI ARABIA

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Muhammad Ishtiaq

Researcher

Gyeongsang National University

SOUTH KOREA

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Anoop Maurya

Senior Researcher

Korea Institute of Materials Science

SOUTH KOREA

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Nokeun Park

Professor

Yeungnam University

SOUTH KOREA

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Prof. N. S. Reddy

Research Interests

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Articles (33)

Explainable ANN-based prediction of mechanical properties in natural fiber-reinforced polymer composites using SHAP analysis

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

Cost-Effective Manufacturing of Ti-6Al-4V Filler Wire from As-Cast Ingot via Processing Map-Guided Design for Wire Arc Additive Manufacturing

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

The Role of Machine Learning in Minimum Quantity Lubrication for Sustainable Machining: A Review

Physics-Informed Neural Network Modelling of Hydrogen Diffusion and Trapping in Microalloyed Steels: A Data-Driven Synthesis Across Multiple Alloy Systems

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

Artificial neural network-based prediction of stacking fault energy in Fe-Cr-Mn-C-N steels

Prediction of Hole Expansion Ratio in Advanced High-Strength Steels Using Physics-Informed Machine Learning

Translating laboratory excellence into industrial practice: A critical evaluation of scalability, stability, and cost barriers in nanostructured steel technologies

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

Machine Learning-Driven Prediction of Microstructural Evolution and Mechanical Properties in Heat-Treated Steels Using Gradient Boosting

Self-Healing Mechanism of Bi–Sn Foil Anode with Enhanced Cycling Stability for Sodium-Ion Batteries

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

Analysing the modulus of rigidity for various thread materials using trifilar suspension method

Basicity as a descriptor for catalyst performance: a promoter study for syngas production via autothermal reforming of methane with CO₂

Empowering energy storage: Predicting specific capacitance for carbon-based supercapacitors with artificial neural networks

Stabilizing the Solid Electrolyte Interface Using a Zero-Strain Feature Protective Layer for a High-Performance Silicon–Graphite Anode

Artificial neural network model for extracting knowledge from the electro‐Fenton process for acid mine wastewater treatment

Surface fluorinated graphite suppressing the lithium dendrite formation for fast chargeable lithium ion batteries

Neural Network Models for Estimating the Impact of Physicochemical and Operational Parameters on the Specific Capacity of Activated-Carbon-Based Supercapacitors

Modeling the adsorption process for fluoride removal from groundwater by machine learning

Estimation of surface roughness of direct metal laser sintered AlSi10Mg using artificial neural networks and response surface methodology

Modeling the Nonlinearities Between Coaching Leadership and Turnover Intention by Artificial Neural Networks

Predictive capability evaluation and optimization of Pb(II) removal by reduced graphene oxide-based inverse spinel nickel ferrite nanocomposite

High temperature isothermal oxidation behavior of electron beam melted multi-phase $̆pgamma$-TiAl alloy

Development of artificial neural networks software for arsenic adsorption from an aqueous environment

Estimation of machinability performance in wire-EDM on titanium alloy using neural networks

Machine learning and statistical approach in modeling and optimization of surface roughness in wire electrical discharge machining

Egg white derived carbon materials as an efficient sulfur host for high-performance lithium-sulfur batteries and its electrochemical properties

Collaborators (4)

Mohammad Faseeulla Khan

Muhammad Ishtiaq

Anoop Maurya

Nokeun Park

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