Journal: Current Materials Science
Guest editor(s): AJAY KUMAR
Co-Guest Editor(s):

Introduction

Over the last decade, there is exponential growth in the function, dynamics and design of advanced materials and thus sustain enhanced functional and structural properties such as electrical, biological, thermal, magnetic, mechanical, optical at various scales. Materials modeling and characterization provide significant information on design principles and methods for fabrication of materials with improved and novel properties at micro- and nano-scales and elaborates composition, structure, mechanics in materials discovery and applications for green environment. Although different modeling and characterization strategies are available, research still requires more advanced and efficient tools for development of novel materials with desirable properties. A combination of computational/simulation modeling and experimental characterization can reveal the mechanisms governing the behavior of advanced materials. Thus this thematic issue in addition of conventional modeling/characterization such as finite element methods, Monte Carlo (MC) simulation, Optical microscopy, infrared spectroscopy, Raman spectroscopy, scanning electron microscopy (SEM), Rutherford Backscattering Theory (RBS), Energy Dispersive X-Ray Spectroscopy (EDS), Transmission Electron Microscopy (TEM), Electron Spectroscopy for Chemical Analysis (ESCA), Auger Electron Spectroscopy (AES), Ion Scattering Spectroscopy (ISS), Gas Chromatography (GC), Differential Scanning Calorimetry (DSC), Differential Thermal Analysis (DTA), Dynamic Mechanical Analysis (DMA) and Thermogravimetric Analysis (TGA) and multi-scale simulation methods etc. focuses on data driven techniques such as artificial intelligence (AI), machine learning (ML), virtual reality (VR), big data analytics, digital twin (DT), Materials Genome Initiative (MGI) for modeling and characterization of advanced materials. This special issue will contain articles on mechanics, structure, synthesis, modeling, characterization of surface and interface aspects of current technological and scientific progress of various advanced materials like smart materials, multifunctional, functionally graded, meta-materials, soft materials, energy absorption materials, biomaterials, porous materials, metal foams, carbon materials, high entropy materials, metal oxides, polymers, ceramics, composites, carbon-fiber, Nano-materials, construction materials, coatings, optical, dis-ordered materials, magnetic, photovoltaic, piezoelectric, radar absorbing materials etc. 3. The aim of this special collection is: • To provide theoretical, experimental and scientific validation to problems of mechanics and design of structure of advanced materials. • Integrates the intelligent tools like artificial intelligence, Nature and Bio-inspired algorithms, computational and simulation approach, analytical strategies to enhance the materials characteristics and properties • Discuss advanced and analytical optimization and modeling techniques of materials by experimental/research data • To design tailored properties in materials for various applications • Analyze surface and interior structure of materials by Artificial Intelligence approach • To discuss various testing strategies of advanced materials The aim of this special issue is to include modeling and characterization aspects of advanced materials by designing novel ideas by numerical, analytical, experimental, theoretical studies and hybrid approach and their implementation for applications in biomedical, pharmaceuticals, electronic, agriculture, mechanical, aviation and automobile etc. sectors.

Keywords

Materials Modeling, Characterization Techniques, Advanced Materials, Materials Structure, Materials Mechanics, Synthesis Strategies, Data Driven Modeling, Testing

Sub-topics

List of the topics to be covered: The scope of this special issue includes (but is not limited to followings which are covered under the title of this special issue):

·        Examination of characteristics of advanced materials by various characterization strategies

·        Multi-scale modeling of advanced materials

·        Understanding microstructure of materials

·        Structural analysis of advanced materials by SEM/TEM, X-ray diffraction and associated techniques

·        Chemical Characterization of materials surfaces

·        Optimization of various properties of advanced materials

·        Analysis of tribology behavior of advanced materials

·        Structure design to enhance chemical/physical/thermal/mechanical properties of sustainable materials

·        Enhancing Materials Processing and Performance by Industry 4.0

·        Nature and Bio-inspired Algorithms in understating the Modeling and Characterization of Materials

·        Simulation of Advancd Materials

·        Applications of energy-efficient materials in automobile, aerospace, healthcare, materials industries etc.

·        Artificial Intelligence driven XRD, FTIR, TEM, XPS, AFM and SEM etc. materials characterization techniques

·        Analysis of Recyclability, Durability and Reparability of Advanced Materials

·        Designing lightweight Structure for Advanced Materials

·        Nano and Micro Physics of Advanced Materials

·        Processing Methods of Engineering materials

·        Analyzing Defect formation and Propagation in Structure of Materials

·        Modeling of Self-Healing materials

·        Analysis of Reinforcement in Composite Materials

·        Computational/Continuum/Atomistic modeling approaches of advanced materials

·        Destructive and non-destructive testing of advanced materials

·        Industry 4.0 driven strategies in modeling and characterization of materials

·        Data-driven materials discovery and design