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Developing new materials involves navigating a series of complex decisions. For example: Should the focus be on improving performance or reducing cost? How will manufacturing processes impact material properties? What trade-offs are acceptable in terms of sustainability or production timelines? Every choice impacts the final material and its applications. Materials modelling, and in particular multiscale materials modelling, aims to improve this process by linking simulations across different scales, providing a detailed understanding of how decisions at the micro or nanoscale affect macroscopic performance. However, to be effective, modelling tools must not only generate accurate predictions but also support practical decision-making [1,2]. Requirements for Effective Multiscale Materials Modelling Frameworks For multiscale materials modelling to enhance decision-making, the tools must address key needs [1,2]: Integrated Modelling Across Scales: Material behaviour and property are often dominated by phenomena occurring at different scales, therefore the system should seamlessly connect models at different scales, such as atomic-level simulations,...
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