Material characterization is the measurement and determination of a material's physical, chemical, mechanical, and microstructural properties. This technique provides the greater degree of awareness required to handle significant issues such as failure causes and process-related concerns, as well as allowing the manufacturer to make critical material decisions. The complexity of materials and devices is increasing. As a result, the methodologies and procedures utilized to investigate and characterize them must become increasingly sophisticated. To support technical endeavours, materials scientists use both standardized analytical procedures and specialized application-specific advanced techniques.
Material modelling thus faces the difficulty of high-dimensional parameter spaces, where a large number of parameter combinations must be sampled and thoroughly examined. Given the generally high-dimensional parameter space of interest, relying on experiments is typically prohibitively expensive. As a result, the combination of experimental and computational methodologies is gaining popularity. Due to recent advancements in computing power and simulation methodology, computational modelling techniques are increasingly widely used in materials research, as they can enable rapid testing of theoretical predictions or understanding of complex experimental data at a low cost.
Human needs and desires have always driven material growth, and this is expected to continue in the foreseeable future. By 2050, the world's population is predicted to reach 10 billion people, resulting in increased need for clean and efficient energy, customised consumer products, reliable food supply, and professional healthcare. The key to overcoming this difficulty will be the development of new functional materials that are created and tuned for specific qualities or behaviours. Advanced materials are typically discovered empirically or through experimental trial-and-error methods. Data-driven or machine learning (ML) technologies have created new possibilities for the discovery and rational design of materials as massive data generated by modern experimental and computational techniques becomes more widely available.
Title : Structural and magnetic properties of new half metallic ferromagnetism
Yarub Al Douri, American University of Iraq, Iraq
Title : Crystallographic aspects of shape memory effect and reversibility in shape memory alloys
Osman Adiguzel, Firat University, Turkey
Title : Die design for flashless forging of a clevis
Pedram, Kaveh Forging Co, Iraq
Title : Mathematical modelling and ANOVA investigation of lightweight concrete incorporated with ultra-fine stone sludge
Rajesh Kumar, CSIR Central Building Research Institute, India
Title : A successful process to prevent corrosion of rich Gd-based room temperature magnetocaloric material during ageing
Madhu Chennabasappa, Siddaganga Institute of Technology Tumkur, India
Title : Sustainable antimicrobial composites for bone repair
Mapoloko Mpho Phiri, Nelson Mandela University, South Africa
Title : Plastic films to be used in a night-time radiative cooling technology: Optical and mechanical study for a RCE device
Ingrid Martorell, University of Lleida, Spain
Title : A proposed method using t-test for stability check in proficiency testing in tensile and hardness tests of materials
Riham Hegazy, National Institute of standards, Egypt
Title : Cellulose extraction from phragmites karka and its conversion into nano-fibers
Uroosa Ejaz, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Pakistan
Title : Advances of high-voltage consolidation of powder materals
Evgeny Grigoryev, Merzhanov Institute of Structural Macrokinetics and Materials Science Russian Academy of Sciences, Russian Federation