Multiscale Behavior of Materials and Structures: Analytical, Computational, and Experimental Approaches

Dear Colleagues,

The multiscale behavior of materials and structures lies at the heart of modern materials science and engineering, enabling the design of advanced materials with tailored properties for applications ranging from aerospace and energy to biomedical engineering and beyond. Investigating the mustiscale behavior and understanding how material microstructure influences macroscopic mechanical behavior plays a pivotal role for developing materials that can withstand extreme conditions, optimize performance, and meet sustainability goals.

This Special Issue, titled: Multiscale Behavior of Materials and Structures: Analytical, Computational, and Experimental Approaches, seeks to explore the intricate interplay between material behavior across scales, emphasizing the integration of cutting-edge analytical models, numerical simulations, and experimental techniques. By leveraging analytical models, numerical simulations, and experimental techniques, researchers can disclose the fundamental mechanisms governing material performance and develop predictive frameworks for designing next-generation materials and structures.

The integration of advanced computational tools, such as machine learning and high-performance computing, with experimental methods like in-situ microscopy and micromechanical testing, has opened unprecedented opportunities for innovation. These tools allow researchers to predict, analyze, and optimize material behavior with unprecedented accuracy and efficiency, driving a paradigm shift in how we approach materials science.

This Special Issue will serve as a platform for researcher to share their findings, methodologies, and innovations in the field of multiscale materials behavior.

We invite contributions from academia, industry, and research institutions that highlight innovative approaches to understanding and predicting material performance across scales. Topics of interest include, but are not limited to:

• Analytical Approaches: Theoretical models for predicting material behavior across scales, including micromechanics, homogenization, and failure behavior of materials (fracture, fatigue and creep).
• Numerical Methods: Computational frameworks such as finite element analysis (FEA), molecular dynamics (MD), phase-field modeling, and machine learning-driven simulations.
• Experimental Techniques: Advanced characterization methods, including in-situ/ex-situ microscopy (TEM, SEM, XRD), digital image correlation (DIC), and micromechanical testing (nanoindentation, micro-CT).
• Integration of Approaches: Studies that combine analytical, numerical, and experimental methods to validate predictions, refine models, and uncover new insights.
• Applications: Case studies in composites, metals, polymers, semiconductors, biomaterials, and metamaterials, with a focus on dynamic behavior, failure mechanisms, and performance optimization.

By bringing together diverse perspectives and methodologies, this Special Issue aims to foster interdisciplinary collaboration and advance the frontiers of materials science. We welcome original research articles, comprehensive reviews, and methodological papers that push the boundaries of our understanding of multiscale material behavior.

Prof. Dr. Ali Khalfallah
Prof. Dr. Zohra Benzarti
Guest Editors

Manuscript Submission Information

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