The session will explore the critical intersection of materials characterization, modeling, and data ecosystems, emphasizing their combined role in fostering innovation and sustainability within the materials industry. By inviting insights from industry leaders and research projects, this session aims to bridge the gap between academic research and industrial application. Participants will gain valuable perspectives on how advanced characterization methods and computational modeling are essential for developing sustainable materials and enhancing the resilience of European industry in line with the European Green Deal’s goals.
Through presentations and discussions, we will examine the importance of data sharing, knowledge transfer, and the integration of characterization and modeling workflows, which are vital for meeting specific innovation challenges across multiple sectors, including construction, energy, and mobility. The session will provide a platform for researchers, industry leaders, and policymakers to collaborate and shape the future of this essential field, driving the transition towards a sustainable, competitive European economy.
Computational Chemistry: An Industrial Perspective
by Misbah Sarwar (Johnson Matthey, UK)
Measure what’s easy to measure, calculate what’s easy to calculate, use AI to fill in gaps
by Felix Hanke (Biovia R&D, Dassault Systems UK Limited , UK)
Digitalization of materials processing: the case of battery manufacturing
by Alejandro Franco (Université de Picardie Jules Verne, FR)
