Materials and their environmental impact are paramount for addressing sustainability challenges and ensuring the safety of both the environment and society. Despite the urgent need to address end-of-life practices, material supply risks to ensure sustainable resource availability, the assessment of these requirements is a multifaceted and complex challenge. It requires comprehensive data on materials' environmental performance, manufacturing processes, safety considerations, and their implications for the circular economy. Integrating material intelligence into decision support tools assists in considering not only environmental factors and safety attributes but also their role in fostering a circular and sustainable economy. Traditionally, information for material selection has been provided by physical characterization approaches. However, more and more organizations are looking at integrating computational models and physical experiment to drastically accelerate the material characterization, design and optimization in terms of performance; nevertheless this comes with additional complexity and challenges which will need to be tackled. All the involved actors in...
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