Development of New Characterization, Modeling, Data Analytics and Design Methods

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.

• Material design protocol
• Data analysis in material science
• Advancements in this field