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.
Metal-organic framework (MOF) is a new class of nanoporous material that is widely used in catalytic field due to their large specific surface area, high porosity and tunable pore size. Its excellent…
Sessions are CPD-accredited; certificates issued to every registered delegate within two weeks of the conference.
Oral and poster slots for original Development of New Characterization, Modeling, Data Analytics and Design Methods work, reviewed by the scientific committee.
Meet materials researchers, engineers, and academics from around the world across three days.
Accepted abstracts appear in the indexed conference proceedings with a citable DOI.
Plenary lectures from leading voices shaping Development of New Characterization, Modeling, Data Analytics and Design Methods research and practice.
Attend in person in Singapore or join virtually — same programme, same certificate.
Oral and poster slots for your work — in person in Singapore or online. Not presenting? Attend as a delegate to learn from the field.
The Development of New Characterization, Modeling, Data Analytics and Design Methods track is a dedicated stream within Materials 2027 covering the latest research, methods, and applications in Development of New Characterization, Modeling, Data Analytics and Design Methods. It brings together researchers, engineers, and academics for oral presentations, posters, and discussion.
Materials researchers, engineers, educators, doctoral students, and R&D leaders with an interest in Development of New Characterization, Modeling, Data Analytics and Design Methods are all welcome — whether presenting or attending.
Yes. Submit an abstract for oral or poster presentation. All submissions are peer-reviewed by the scientific committee; accepted abstracts appear in the indexed proceedings.
Yes. Materials 2027 is a hybrid conference — attend the Development of New Characterization, Modeling, Data Analytics and Design Methods track in person in Singapore or join live online, with on-demand access afterward.
Singapore · March 18–20, 2027· Hybrid · in-person & virtual
Attend without presenting.
