Panel: Advances in Materials Characterisation

Wednesday, 7 May 2025

As materials become more complex, so must the methods used to characterise them. This session will delve into state-of-the-art characterisation tools—from spectroscopy and microscopy to data-driven approaches—used to understand and optimise materials at the atomic and molecular levels. Panellists will discuss how new capabilities are unlocking innovations in design, performance, and sustainability. 

 

Discussion Points: 

• What are the limitations of current characterisation techniques, and how are they being overcome? 

• How is the integration of AI and machine learning transforming data interpretation in characterisation? 

• What role does characterisation play in the development of novel or multifunctional materials? 

• How can characterisation approaches better support cross-disciplinary collaboration (e.g., between materials science and data science)? 

• What are the infrastructure and skills needed to keep up with next-generation characterisation demands?