Research on Engineering Structures and Materials (RESM) is pleased to announce an upcoming Special Focus Issue dedicated to the integration of artificial intelligence, machine learning, and intelligent optimization algorithms in the lifecycle of material engineering.
Overview
The development of advanced structural materials is critical for innovations across civil infrastructure, aerospace, energy, and sustainable construction. Traditional experimental and computational methods are often resource-intensive and costly. Recent advances in artificial intelligence (AI), machine learning (ML), and deep learning offer unprecedented opportunities to accelerate material discovery, predict properties with high precision, optimize compositions, and enhance structural reliability.
This Special Issue aims to provide an international platform for researchers, engineers, and industry practitioners to present cutting-edge advances and promote interdisciplinary collaboration at the intersection of materials science, structural engineering, and artificial intelligence.
Scope and Topics
The Special Issue welcomes original research articles, review papers, case studies, and application-oriented contributions covering, but not limited to:
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AI-driven design and development of advanced structural materials
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Machine learning for material property prediction and performance evaluation
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Data-centric approaches for material discovery and innovation
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Deep learning techniques for microstructure characterization
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Physics-informed artificial intelligence in material and structural engineering
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Intelligent optimization methods in engineering material systems
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Digital twin technologies for materials and structures
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Smart materials, nanomaterials, and multifunctional composites
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Sustainable materials and AI-assisted green engineering solutions
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Structural reliability, damage assessment, and predictive maintenance using AI
Guest Editors
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Dr. Nitin Goyal, Department of Computer Science and Engineering, Central University of Haryana, India
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Prof. Upaka Rathnayake, Department of Civil Engineering & Construction, Atlantic Technological University, Sligo, Ireland
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Prof. Alex Khang, Global Research Institute of Technology and Engineering, United States
Submission Details
📌 Now Open for Submissions
📌 Submission Deadline: December 15, 2026
📌 Submission Instructions: Authors should select the section titled “SFI: AI Materials” when uploading their manuscript through the journal’s submission system.
