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 : Crystallographic Basis of Thermal and Mechanical Reversibility in Shape Memory Alloys
Osman Adiguzel, Firat University, Turkey
Title : Development of current sensors using giant magnetoresistance effect in magnetic multilayers
Prasanta Chowdhury, CSIR - National Aerospace Laboratories, India
Title : Engineered Spin Properties in Open Shell Conjugated Polymers
Daniel J Adams, The University of Southern Mississippi, United States
Title : ZrB2-SiC, ZrB2-SiC-ZrC and TaB2-SiC Composites Manufactured Under High 4 GPa and 30 MPa Pressures
Tetiana Prikhna, V. Bakul Institute for Superhard Materials of the National Academy of Sciences of Ukraine, Ukraine
Title : Effect of Manufacturing Process on Micro-structure Evolution, to Optimize Property for the Dual Phase; (HSLA) Steel & High Strength Alloy.
Alireza Fallahi Arezouda, Amirkabir University of Technology, Iran (Islamic Republic of)
Title : Improving interlayer bonding and strength in 3D-printed thermoplastics
Atefeh Golbang, Ulster University, United Kingdom
Title : Effect of Ni/Mn ratio on magneto structural coupling and magneto caloric effect in MnCoGe alloys
Najam ul Hassan, University of education, Pakistan
Title : A correlation between nanotechnology and renewable energy
Yarub Al Douri, American University of Iraq, Iraq
Title : Fabrication and investigation of the impact of sintering temperature on micro hardness of Fe20Cr20Mn20 Ni20 Ti10Co5V5
Steadyman Chikumba, University of South Africa, South Africa
Title : Effect of quenching on the structural, morphological, and magnetic properties at Cobalt and Nickel ferrites
Bianca Rafaela Nascimento Pereira, Universidade Tecnológica Federal do Paraná, Brazil