In materials science, characterization refers to the broad and generic process of probing and measuring a material's structure and properties. It is a crucial step in the field of materials science, without which no scientific understanding of engineering materials can be achieved. Application of homologous series of tracers to the development of new characterisation approaches and modelling of transport properties on plastic materials.
Some of the primary goals of materials research include modelling numerous phenomena observed in materials, predicting their behaviour under various conditions, and developing/designing cost-effective materials with enhanced or desired qualities.
Materials data science, as a definition of data science, is an interdisciplinary field of study that incorporates materials science, computer science, arithmetic, physics, and chemistry.
The Material Design technique makes it easier to create material experiences. It proposes four key action steps: (1) Understanding the Material: Technical and Experiential Characterization, (2) Creating Materials Experience Vision, (3) Manifesting Materials Experience Patterns, and (4) Designing Material/Product Concepts, which are provided in a sequential order.
Title : Reconstruction of dislocation core structures for aluminum
Yan Huang, Brunel University, United Kingdom
Title : Birth of solids: In situ liquid STEM to reveal the earlier stage of growth of nanocrystals
Walid Dachraoui, Swiss Federal Laboratories for Materials Science and Technology, Switzerland
Title : Improving the surface properties of materials and biomaterials by electrochemical methods.
Lidia Benea, Dunarea de Jos University of Galati, Romania
Title : Oxygen vacancies based modifications in properties of Sr doped Nd2NiMnO6
Khalid Sultan, Central University of Kashmir, India
Title : Role of various factors in single point diamond turning machining (SPDT) to manufacture superhydrophobic surfaces
Jaishree Sharma, University of Petroleum and Energy Studies, India
Title : Assessing and prioritizing demolition waste management scenarios using a BIM-based life cycle sustainability assessment (LCSA) and multi-criteria decision aiding method
Dongchen Han, University of Melbourne, Australia